This section of the guide deals with checking Amazon responses after the launch of one of the connectors that make calls to Amazon for publishing and/or updating offers (Amazon Marketplace connector [Product Operation].

After launching the execution of the connector in question, the progress check can be carried out by observing 3 lists:

  • Connector execution log (Logs menu -> Connector execution log)
  • Response log (Marketplace >> Amazon >> Report and logs >> Log answers)
  • Errors in submitted feeds (Marketplace >> Amazon >> Reports and logs >> Errors in submitted feeds)

The first log (Connector execution log) tells us whether the activity of sending the request to Amazon has been carried out successfully or not.

Log answers

In this section, you can view the data sent and the type of response received from Amazon.
It is possible to filter by feed type, among the following:

_POST_INVENTORY_AVAILABILITY_DATA_: Feed related to the quantity of products.

_POST_PRODUCT_DATA_: Feed related to the products in their entirety. In this type of feed you can view any errors found for each individual SKU.

_POST_PRODUCT_PRICING_DATA_: Feed related to the price associated with the products.
By clicking on the magnifying glass, in the line relating to the offer, you can see how many offers have generated errors and how many offers have been correctly published/updated on the marketplace.

_POST_IMAGE_DATA_: Feed related to product images.

_POST_PRODUCT_RELATIONSHIP_DATA_: Variant relationship feed.


It is also possible to download the sending file containing the product information sent to the marketplace and the response file by clicking on the "Download" button.

risposte-da-Amazon-e-relativi-log.png

Errors in submitted feeds:

Observing the next log (Errors in the feeds sent) will show us the list of offers that have generated errors. In this case, you can also filter by SKU.

By clicking on the magnifying glass, in the line relating to the offer, you can view the type of error encountered.

The other connectors to Amazon act synchronously; response times are therefore shorter and the activity log is simplified (connector execution log table only).

After a maximum of ten consecutive errors for the same product SKU, the bindCommerce system will no longer attempt to send the offer to Amazon and therefore the problematic SKU will be excluded from subsequent feeds sent.
It is therefore necessary to report as managed the errors resolved, avoiding that the latter accumulate. In order to manage the errors resolved, it is necessary to go to the section

Marketplace >> Amazon >> Report e logs >> Errors in submitted feeds

After selecting one or more errors, it is necessary to report them as managed by clicking on the appropriate green tick.

Schermata_2021-08-26_alle_10.12.44.png

Amazon shipping methods are generally created, managed and linked to offers directly from this section of the marketplace:

Settings --> Shipping settings

ma qualora fosse necessario configurarli in maniera più articolata e automatizzare il processo di collegamento alle offerte, ci vengono in aiuto due diverse modalità di collegamento tramite bindCommerce.

Modello di spedizione nei parametri per la preparazione delle offerte

La prima operazione da svolgere è quella di configurare tutti i modelli di spedizione necessari dall'Amazon Seller Central, configurando paesi, tempi e tariffe secondo le proprie necessità.

thumb amazon shipping settings

 

Once you have created the models in Amazon go to the parameters for the preparation of offers that we have already talked about in these articles: Parameters for preparation of known Amazon offers and Parameters for preparation of unknown Amazon offers.

You will be able to specify the model in the Shipping tab under Shipping model. Pay attention to the name you enter: it must be identical to the model name indicated in Seller Central otherwise the link will not work.

If more models are created on Amazon, more parameters in bindCommerce will be needed and therefore more connectors and filters. Alternatively it is possible to fetch the data dynamically using a placeholder in cases where the model name is present, for example, in an attribute.

Shipping templates in the dedicated section

Also in this case the models must first be created within the Amazon Seller Central. Once configured, you can also take advantage of a second connection method in bindCommerce. The dedicated section can be reached through the following menu:

Marketplace >> Amazon >> Shipping templates

Using the models directly in bindCommerce you have the possibility of using a slightly more complex method, especially in the presence of weight bands. It is in fact possible to specify a minimum weight and a maximum weight. The bindCommerce system will then apply the correct method based on the information present on the articles.

 

thumb amazon shipping templates

 

We remind you that the name of the templates must be identical to the one entered in Amazon. Using this method it will not be necessary to enter the data also in the parameters for the preparation of offers.

Sending to Amazon

After configuring the models, you will first need to update the offers in bindcommerce using the previously created connector for generating offers and finally you can send the data to Amazon by activating a specific option within the parameters for sending offers.

The dedicated option is Shipping group data (MerchantShippingGroupName), but in this case you will also need to select the Condition of the asset and Name (Title). It is not necessary to create a dedicated configuration if you already have other publishing configurations, just add the check to the field mentioned above directly to the existing configuration.

PLEASE NOTE: It is not recommended to use existing stock update configurations and prices. In this case it is preferable to create a special configuration for updating only the shipping methods.

To sell effectively on Amazon, you need to create a product inventory that is as complete and detailed as possible. Thanks to some standard information, Amazon is able to manage internal cataloging and browser searches, correctly indexing the products. In order to obtain a correct and effective inventory, it will be necessary to equip the products with more attributes, necessary for advanced research on the marketplace.

How to enter these values on bindCommerce?

Click on the menu

 

Marketplace >> Amazon >> Offer preparation parameters

The sections dedicated to the insertion of attributes and consequent values are Macrocategory, Variation Data and Classification Data. Now let's see for each section the fields to be filled in, and the values that can be used, for the Shoes category.

Macrocategory

The data entered in this section are essential for a correct publication on Amazon.

Macrocategory
Shoes

ClothingType
Accessory
Bag
Shoes
ShoeAccessory
Handbag
Eyewear

Variation Data

Based on the choice of the macro-category implemented in the previous section, the various elements will be available. Since the "Shoes" section has been chosen in the Macro-category section, in the Variation Data section the "Color" "Variation Theme" and "Size" values will be available in the Element drop-down menu. Let's see how to fill in this section in detail.

VariationTheme
Color
SizeColor
Size

Color
Compilare usando:
tag indicating the Attribute field to which the value "Color" has been assigned in the Data Set section. Example: if Attribute 3 is equal to the Color value, this field will be filled in using the placeholder {[(attribute3 | value)] } or, optionally, use a fixed value that indicates the color of the product. Example: dark green

Size
UUse one of two methods to fill in the field:
tag indicating the Attribute field to which the value "Size" has been assigned in the Data Set section. Example: if Attribute 2 is equal to the Size value, this field will be filled in using the placeholder {[(attribute2 | value)] } or, if desired, use a fixed value indicating the size of the product. Example numeric_36

Classification Data

The elements in this section refer to the search and catalog fields on Amazon. Some fields are of fundamental importance for the published products to be available for advanced searches on the marketplace. In the absence of such data, the product will be invisible to the public who will carry out an advanced search. How to fill in this section? Some elements may correspond to placeholder values, based on the choice of attributes made in the Data Set section. Other elements may instead be filled in using fixed values indicated in the following tables.

The Color and Size values derive from the Product List present on bindCommerce. To obtain correct advertisements, please evaluate the use of the standard values indicated by Amazon for the Size field, starting from your product archive.

Conversions

In the event that the Color and Size values of the Product List do not coincide with those accepted by Amazon, bindCommerce allows you to carry out scale conversions directly on the platform.

Just click on the menu:

Processi >> Conversions and Normalizations >> Conversions

Let's say we have an anthracite colored product. To make a conversion, simply click on the green Add button, indicate the Manufacturer from the drop-down menu (if you intend to create a conversion valid only for a specific manufacturer; leaving this value blank, the conversions will be used for products of any brand) and choose the type of scale best suited to the product if it is a size conversion, general if it is a color conversion.

In the field Starting scale it will be sufficient to choose in the case in question non-standard descriptive color, and indicate Anthracite as the starting value. In the Target scale field, indicate Color Standard Eng and search among the values ​​provided by Amazon for the one that is closest to anthracite, for example Gray. Once entered in the Target value field, just click on Save and Close. To insert a converted value in the Classification Data section use the specific tag.

EXAMPLE: {[(attribute1|kind==General|rescale_from==color_not_standard|rescale_to==color_standard_eng|value)]}

Required elements for the Classification Data section

ColorMap
tag indicating the Attribute field to which the "Color" value has been assigned in the Data Set section. Example: if Attribute 3 is equal to the Color value, this field will be filled in using the placeholder {[(attribute3|value)]}

OuterMaterialType
fundamental attribute to indicate the other type of main material of the article. It is used to refine the search for the type of material, for example "Leather"

TargetGender
the clothing department (man, woman, etc.) in which the article is located. The following values are mandatory:
male
female
unisex

Elementi facoltativi per la sezione Classification Data

ClosureType
Buckle, Button, Hook & Loop, Lace-Up, Slip On, Speed Laces, Zip

CollectionName
Autumn-Winter17
for the Italian market it is also possible to indicate the value in Italian: Spring / Summer 2017

 

CountryOfOrigin
Afghanistan, Aland Islands, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua And Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Bouvet Island, Brazil, British Indian Ocean Territory, British Virgin Islands, Brunei, Bulgaria, Burkina Faso, Burma (Myanmar), Burundi, Cambodia, Cameroon, Canada, Canary Islands, Cape Verde, Cayman Islands, Central African Republic, Chad, Chile, China, Christmas Island, Cocos (Keeling) Islands, Colombia, Comoros, Cook Islands, Costa Rica, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Falkland Islands, Faroe Islands, Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-Bissau, Guyana, Haiti, Heard and McDonald Islands, Holy See (Vatican City), Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Ivory Coast, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Macau, Macedonia, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montserrat, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, Netherlands Antilles, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, Niue, Norfolk Island, North Korea, Northern Mariana Islands, Norway, Oman, Pakistan, Palau, Palestinian Territory, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Pitcairn Islands, Poland, Portugal, Puerto Rico, Qatar, Republic of the Congo, Réunion, Romania, Russia, Rwanda, S. Georgia and S. Sandwich Isls., Saint Helena, Saint Kitts And Nevis, Saint Lucia, Saint Pierre and Miquelon, Saint Vincent And The Grenadines, Saint-Martin, Samoa, San Marino, Sao Tome And Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Korea, Spain, Sri Lanka, Sudan, Suriname, Svalbard, Swaziland, Sweden, Switzerland, Syria, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Tonga, Trinidad And Tobago, Tunisia, Turkey, Turkmenistan, Turks And Caicos Islands, Tuvalu, US Minor Outlying Islands, US Virgin Islands, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Unknown, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Wallis and Futuna, Western Sahara, Yemen, Zaire, Zambia, Zimbabwe

HeelType
Block Heel, Cone Heel, Kitten Heel, Louis Heel, Stiletto, Wedge, Western Heel

InnerMaterial
Fur, Leather, Manmade, Mesh, Shearling, Synthetic fur, Textile, Without inner material, Wool

MaterialType
100-percent-cotton, Rubber, acetate, acrylic, alpaca,, angora, blend, buckskin, calfskin, canvas, cashmere, cashmere-blend, chamois, cotton, cotton-blend, cotton-rich, crocodile, dacron, down, egyptian-cotton,, elastic, exotic, fabric, faux-fur, fleece, fur, gore-tex, haircalf, hemp, kevlar, lace, leather, leather-and-fabric, leather-and-mesh, leather-and-rubber, leather-and-synthetic, linen, linen-blend, lizard, lurex, lycra, lycra-blend, mercerized-cotton, merino-wool, mesh, microfiber, microsuede, mohair, nappa-leather, neoprene, nubuck, nylon, ostrich, patent-leather, pima-cotton, plastic, pleather, polartec-fleece, poly-cotton, poly-rayon, polyester, polyester-blend, polypropylene, pony, rayon, rayon-blend, rubber, satin, shearling, sheepskin, shetland, silk, silk-blend, snakeskin, spandex, straw, suede, synthetic, synthetic-and-fabric, synthetic-and-leather, synthetic-and-mesh, synthetic-and-rubber, tencel, thinsulate, ultrasuede, urethane, velcro, velvet, vinyl, viscose, viscose-rayon, water-snake, wood, wool, wool-blend, worsted-wool

Season
Autumn-Winter Spring-Summer
Per il mercato Italia è possibile indicare il valore anche in italiano: Primavera/Estate

SoleMaterial
cork, crepe, fabric, felt, latex, leather, leather-and-rubber, lug-sole, manmade, rubber, suede, vibram, wood

StyleName
Ankle-Strap, Ballet, Ballroom, Biker Boots, Brogue, Chelsea Boots, Chukka Boots, Closed-Toe, Combat Boots, Cowboy Boots, Derby, Desert Boots, Espadrille, Flatform, Gladiator, High-Top, Jazz & Modern, Low-Top, Moccasin Boots, Open-back, Oxford, Peep-Toe, Platform, Slingback, Slouch Boots, Snow Boots, T-Bar, Tap, Wellington Boots

OccasionLifestyle
Business
Casual
Evening
Wedding

Required elements for the Size Compliance Data section

NB: To ensure that the publication is successful, it is mandatory to select the fields in the configuration following the order listed below. Filling out the fields in random order will not be considered valid by Amazon, and the publication will fail.

age_range_description
Age range description. Specify the age range for which the product is designed. Select one of the following options:
adult
big_kid
little_kid
toddler
infant

footwear_size_system
Shoe size system. This field specifies the size system used, this defines the required information about the shoe and is used to show the customer the correct size according to the country online. Provide the sizing system used to provide the shoe size.
Valid value
eu_footwear_size_system
us_footwear_size_system
uk_footwear_size_system
jp_footwear_size_system

shoe_size_age_group
Age range by shoe size. This field specifies the age range for which the shoe size is intended. Select the age group for which the shoe size is intended
adult
big_kid
little_kid
toddler
infant

shoe_size_gender
Gender for which the shoe is intended: This data specifies the gender for which the shoe is intended, enter one of the valid values
men
women

shoe_size_class
Type of shoe size. This field specifies the type used to define the shoe size. Select the type used to specify the shoe size. Possible examples of how to represent value:
numeric
numeric_range
alpha
alpha_range
age
age_range
measurement
measurement_range

 

shoe_size_width
Shoe width. This field specifies the width of the shoe. Provide the shoe width information
xxx_narrow
xx_narrow
x_narrow
narrow
medium
wide
x_wide
xx_wide
xxx_wide

shoe_size
Shoe width. This field specifies the width of the shoe. Provide the shoe width information
fraction_14_and_1_ninth
fraction_14_and_1_third
fraction_14_and_2_thirds
fraction_15_and_1_ninth
fraction_15_and_1_third
fraction_15_and_2_thirds
fraction_16_and_1_ninth
fraction_16_and_1_third
fraction_16_and_2_thirds
fraction_17_and_1_ninth
fraction_17_and_1_third
fraction_17_and_2_thirds
fraction_18_and_1_ninth
fraction_18_and_1_third
fraction_18_and_2_thirds
fraction_19_and_1_ninth
fraction_19_and_1_third
fraction_19_and_2_thirds
fraction_20_and_1_ninth
fraction_20_and_1_third
numeric_20_point_5
fraction_20_and_2_thirds
numeric_21
fraction_21_and_1_ninth
fraction_21_and_1_third
numeric_21_point_5
fraction_21_and_2_thirds
numeric_22
fraction_22_and_1_ninth
fraction_22_and_1_third
numeric_22_point_5
fraction_22_and_2_thirds
numeric_23
fraction_23_and_1_ninth
fraction_23_and_1_third
numeric_23_point_5
fraction_23_and_2_thirds
numeric_24
fraction_24_and_1_ninth
fraction_24_and_1_third
numeric_24_point_5
fraction_24_and_2_thirds
numeric_25
fraction_25_and_1_ninth
fraction_25_and_1_third
numeric_25_point_5
fraction_25_and_2_thirds
numeric_26
fraction_26_and_1_ninth
fraction_26_and_1_third
numeric_26_point_5
fraction_26_and_2_thirds
numeric_27
fraction_27_and_1_ninth
fraction_27_and_1_third
numeric_27_point_5
fraction_27_and_2_thirds
numeric_28
fraction_28_and_1_ninth
fraction_28_and_1_third
numeric_28_point_5
fraction_28_and_2_thirds
numeric_29
fraction_29_and_1_ninth
fraction_29_and_1_third
numeric_29_point_5
fraction_29_and_2_thirds
numeric_30
fraction_30_and_1_ninth
fraction_30_and_1_third
numeric_30_point_5
fraction_30_and_2_thirds
numeric_31
fraction_31_and_1_ninth
fraction_31_and_1_third
numeric_31_point_5
fraction_31_and_2_thirds
numeric_32
fraction_32_and_1_ninth
fraction_32_and_1_third
numeric_32_point_5
fraction_32_and_2_thirds
numeric_33
fraction_33_and_1_ninth
fraction_33_and_1_third
numeric_33_point_5
fraction_33_and_2_thirds
numeric_34
fraction_34_and_1_ninth
fraction_34_and_1_third
numeric_34_point_5
fraction_34_and_2_thirds
numeric_35
fraction_35_and_1_ninth
fraction_35_and_1_third
numeric_35_point_5
fraction_35_and_2_thirds
numeric_36
fraction_36_and_1_ninth
fraction_36_and_1_third
numeric_36_point_5
fraction_36_and_2_thirds
numeric_37
fraction_37_and_1_ninth
fraction_37_and_1_third
numeric_37_point_5
fraction_37_and_2_thirds
numeric_38
fraction_38_and_1_ninth
fraction_38_and_1_third
numeric_38_point_5
fraction_38_and_2_thirds
numeric_39
fraction_39_and_1_ninth
fraction_39_and_1_third
numeric_39_point_5
fraction_39_and_2_thirds
numeric_40
fraction_40_and_1_ninth
fraction_40_and_1_third
numeric_40_point_5
fraction_40_and_2_thirds
numeric_41
fraction_41_and_1_ninth
fraction_41_and_1_third
numeric_41_point_5
fraction_41_and_2_thirds
numeric_42
fraction_42_and_1_ninth
fraction_42_and_1_third
numeric_42_point_5
fraction_42_and_2_thirds
numeric_43
fraction_43_and_1_ninth
fraction_43_and_1_third
numeric_43_point_5
fraction_43_and_2_thirds
numeric_44
fraction_44_and_1_ninth
fraction_44_and_1_third
numeric_44_point_5
fraction_44_and_2_thirds
numeric_45
fraction_45_and_1_ninth
fraction_45_and_1_third
numeric_45_point_5
fraction_45_and_2_thirds
numeric_46
fraction_46_and_1_ninth
fraction_46_and_1_third
numeric_46_point_5
fraction_46_and_2_thirds
numeric_47
fraction_47_and_1_ninth
fraction_47_and_1_third
numeric_47_point_5
fraction_47_and_2_thirds
numeric_48
fraction_48_and_1_ninth
fraction_48_and_1_third
numeric_48_point_5
fraction_48_and_2_thirds
numeric_49
fraction_49_and_1_ninth
fraction_49_and_1_third
numeric_49_point_5
fraction_49_and_2_thirds
numeric_50
fraction_50_and_1_ninth
fraction_50_and_1_third
numeric_50_point_5
fraction_50_and_2_thirds
numeric_51
fraction_51_and_1_ninth
fraction_51_and_1_third
numeric_51_point_5
fraction_51_and_2_thirds
numeric_52
fraction_52_and_1_ninth
fraction_52_and_1_third
numeric_52_point_5
fraction_52_and_2_thirds
numeric_53
fraction_53_and_1_ninth
fraction_53_and_1_third
numeric_53_point_5
fraction_53_and_2_thirds
numeric_54
fraction_54_and_1_ninth
fraction_54_and_1_third
numeric_54_point_5
fraction_54_and_2_thirds
numeric_55
fraction_55_and_1_ninth
fraction_55_and_1_third
numeric_55_point_5
fraction_55_and_2_thirds
numeric_56
fraction_56_and_1_ninth
fraction_56_and_1_third
numeric_56_point_5
fraction_56_and_2_thirds
numeric_57
fraction_57_and_1_ninth
fraction_57_and_1_third
numeric_57_point_5
fraction_57_and_2_thirds
numeric_58
fraction_58_and_1_ninth
fraction_58_and_1_third
numeric_58_point_5
fraction_58_and_2_thirds
numeric_59
fraction_59_and_1_ninth
fraction_59_and_1_third
numeric_59_point_5
fraction_59_and_2_thirds
numeric_60
0_months
3_months
6_months
9_months
12_months
15_months
18_months
21_months
24_months
2_years
2_point_5_years
3_years
3_point_5_years
4_years
4_point_5_years
5_years
numeric_0
numeric_0_point_5
numeric_1
numeric_1_point_5
numeric_2
numeric_2_point_5
numeric_3
numeric_3_point_5
numeric_4
numeric_4_point_5
numeric_5
numeric_5_point_5
numeric_6
numeric_6_point_5
numeric_7
numeric_7_point_5
numeric_8
numeric_8_point_5
numeric_9
numeric_9_point_5
numeric_10
numeric_10_point_5
numeric_11
numeric_11_point_5
numeric_12
numeric_12_point_5
numeric_13
numeric_13_point_5
numeric_14
numeric_14_point_5
numeric_15
numeric_15_point_5
numeric_16
numeric_16_point_5
numeric_17
numeric_17_point_5
numeric_18
numeric_18_point_5
numeric_19
numeric_19_point_5
numeric_20
one_size
xxx_s
xx_s
x_s

Optional items for the Size Compliance Data section

shoe_size_to_range
If the shoe fits different sizes (for example a slipper with size 36-38), select the highest size in this field (so in the case of our example the value for this field will be numeric_38).
Footwear intended for the Unisex gender
In the case of shoes intended exclusively for the Unisex gender, the fields listed below must be completed:

shoe_size_gender_unisex
Field to be filled in instead of shoes_size_gender, indicating the value
unisex

shoe_size_width_unisex
Field to be filled in instead of shoe_size_width, indicating a value from the list below
xxx_narrow
xx_narrow
x_narrow
narrow
medium
wide
x_wide
xx_wide
xxx_wide

shoe_size_unisex
Field to fill in instead of shoe_size, using one of the valid values already listed above

shoe_size_to_range_unisex
Field to fill in instead of shoe_size_to_range. If the shoe fits different sizes, select the highest size in this field

 

To sell effectively on Amazon, you need to create a product inventory that is as complete and detailed as possible. Thanks to some standard information, Amazon is able to manage internal cataloging and browser searches, correctly indexing the products. In order to obtain a correct and effective inventory, it will be necessary to equip the products with more attributes, necessary for advanced research on the marketplace.

How to enter these values on bindCommerce?

Click on the menu

Marketplace >> Amazon >> Action on products/offers

The sections dedicated to the insertion of attributes and consequent values are Macrocategory, Variation Data and Classification Data. Now let's see for each section the fields to be filled in, and the values that can be used, for the Clothing category.

Macrocategory

The data entered in this section are essential for a correct publication on Amazon.

 Macrocategory

Clothing

 Product type

with this category leave the field blank

Variation Data

Based on the choice of the macro-category implemented in the previous section, the various elements will be available. Since the "Clothing" section has been chosen in the Macrocategory section, in the Variation Data section the "Color" "Variation Theme" and "Size" values will be available in the Element drop-down menu.

Let's see how to fill in this section in detail.

 

Element Variant value
 VariationTheme Color
SizeColor
Size
 Color Find using:
  • tag indicating the Attribute field to which the value "Color" has been assigned in the Data Set section. Example: if Attribute 2 is equal to the Color value, this field will be filled in using the placeholder {[(attribute2|value)]}
  • fixed value indicating the color of the product.
 Size Use one of the two methods to fill in the field:
  • tag indicating the Attribute field that has been assigned the "Size" value in the Data Set section. Example: if Attribute 3 is equal to the Size value, this field will be filled in using the placeholder {[(attribute3|value)]}
  • fixed value indicating the size of the product. Example XS

 Classification Data

The elements in this section refer to the search and catalog fields on Amazon. Some fields are of fundamental importance, so that the published products are available for advanced searches on the marketplace. In the absence of such data, the product will be invisible to the public who will carry out an advanced search.

How to fill in this section? Some elements may correspond to placeholder values, based on the choice of attributes made in the Data Set section. Other elements may instead be filled in using fixed values indicated in the following tables.

The Color and Size fields are derived from the Product List on bindCommerce. To obtain correct Amazon listings, please consider using the following values for the Size and Color field, starting from your product archive.

 

Color  Beige, Black, Blue, Brown, Gold, Green, Grey, Multicoloured, Off-White, Orange, Pink, Purple, Red, Silver, Turquoise, White, Yellow 
Size Large, Medium, One Size, Small, X-Large, X-Small, XX-Large, XX-Small, XXX-Large, XXX-Small, XXXX-Large, XXXX-Small, XXXXX-Large, XXXXX-Small, 10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,6,60,8

 Scale conversions

Nel caso in cui the Color and Size values of the Product List do not coincide with those accepted by Amazon, bindCommerce allows you to carry out scale conversions directly on the platform. Just click on the menu:

Processi >> Conversions and normalizations >> Conversions

Let's say we have an anthracite colored product. To make a conversion just click on the green Add button, indicate the Manufacturer from the drop-down menu (if present) and choose the most suitable type of scale according to the product.

In the field Starting scale it will be sufficient to choose in the case in question non-standard descriptive color, and indicate Anthracite as the starting value. In the Target scale field, indicate Color Standard Eng and search among the values provided by Amazon for the one that is closest to anthracite, for example Grey. Once entered in the Target value field, just click on Save and Close. To insert a converted value in the Classification Data section use the specific tag.

EXAMPLE: {[(attribute1|kind==General|rescale_from==color_not_standard|rescale_to==color_standard_eng|value)]}

Let's now see the mandatory elements for the Classification Data section.

ClothingType  Accessory, Blazer, Bra, Dress, Hat, Outerwear, Pants, Shirt, Shorts, Skirt, Sleepwear, SocksHosiery, Suit, Sweater, Swimwear, Underwear 
ColorMap tag indicating the Attribute field to which the "Color" value has been assigned in the Data Set section. Example: if Attribute 3 is equal to the Color value, this field will be filled in using the placeholder {[(attribute3|value)]}
SizeMap tag indicating the Attribute field to which the "Size" value has been assigned in the Data Set section. Example: if Attribute 2 is equal to the Size value, this field will be filled in using the placeholder {[(attribute2|value)]}
MaterialComposition a value that indicates the composition of the garment. Example: "80% wool, 20% polyester"
OuterMaterial Alpaca, Angora, Cashmere, Corduroy, Cotton, Denim, Down, Faux Fur, Felt, Fleece, Fur, Hemp, Leather, Linen, Merino, Mohair, Patent Leather, Rubber, Satin, Sequined, Silk, Smooth Leather, Suede, Synthetic, Velvet, Wool

We also see the recommended items and their values allowed by Amazon.

ClosureType  Belt, Buttoned, Drawstring, Hook, Popper, Zip 
CollectionName Autumn-Winter 16
Autumn-Winter 17
Autumn-Winter 18
Spring-Summer 16
Spring-Summer 17
Spring-Summer 18
Per il mercato Italia è possibile indicare il valore anche in italiano: Primavera/Estate 2017
CountryOfOrigin Afghanistan, Aland Islands, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua And Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Bouvet Island, Brazil, British Indian Ocean Territory, British Virgin Islands, Brunei, Bulgaria, Burkina Faso, Burma (Myanmar), Burundi, Cambodia, Cameroon, Canada, Canary Islands, Cape Verde, Cayman Islands, Central African Republic, Chad, Chile, China, Christmas Island, Cocos (Keeling) Islands, Colombia, Comoros, Cook Islands, Costa Rica, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Falkland Islands, Faroe Islands, Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-Bissau, Guyana, Haiti, Heard and McDonald Islands, Holy See (Vatican City), Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Ivory Coast, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Macau, Macedonia, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montserrat, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, Netherlands Antilles, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, Niue, Norfolk Island, North Korea, Northern Mariana Islands, Norway, Oman, Pakistan, Palau, Palestinian Territory, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Pitcairn Islands, Poland, Portugal, Puerto Rico, Qatar, Republic of the Congo, Réunion, Romania, Russia, Rwanda, S. Georgia and S. Sandwich Isls., Saint Helena, Saint Kitts And Nevis, Saint Lucia, Saint Pierre and Miquelon, Saint Vincent And The Grenadines, Saint-Martin, Samoa, San Marino, Sao Tome And Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Korea, Spain, Sri Lanka, Sudan, Suriname, Svalbard, Swaziland, Sweden, Switzerland, Syria, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Tonga, Trinidad And Tobago, Tunisia, Turkey, Turkmenistan, Turks And Caicos Islands, Tuvalu, US Minor Outlying Islands, US Virgin Islands, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Unknown, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Wallis and Futuna, Western Sahara, Yemen, Zaire, Zambia, Zimbabwe 
CupSize  A-AA-B-C-D-DD-DDD-E-F-FF-G-GG-H-HH-I-J-JJ-K-KK
InnerMaterial Lining: Cotton
Lining: Linen
Lining: Polyamide
Lining: Polyester
Lining: Silk
Lining: Viscose
Lining: a synthetic fiber
OuterMaterial Alpaca, Angora, Cashmere, Corduroy, Cotton, Denim, Down, Faux Fur, Felt, Fleece, Fur, Hemp, Leather, Linen, Merino, Mohair, Patent Leather, Rubber, Satin, Sequined, Silk, Smooth Leather, Suede, Synthetic, Velvet, Wool
MaterialOpacity 10 DEN, 100 DEN, 15 DEN, 20 DEN, 25 DEN, 30 DEN, 35 DEN, 40 DEN, 45 DEN, 5 DEN, 50 DEN, 55 DEN, 60 DEN, 65 DEN, 7 DEN, 70 DEN, 75 DEN, 80 DEN, 85 DEN, 90 DEN, 95 DEN
ModelName A string of up to 50 alphanumeric characters to indicate the model name of the garment. Example: Alicia
StyleName

BLAZER
Blouson, Cape, Down, Duffle, Parka, Quilted, Reefer, Trench, Varsity

DRESS
A-Line, Body Con, Bubble Hem, Bustier, Cocktail, Column, Cut-Out, Empire, Halterneck, Jumper, Kimono, One-Shoulder, Pencil, Peplum, Pleated, Shirt, Skater, Strapless, Tulip, Tunic, Wrap

SHIRT
Asymmetric, Backless, Body Blouse, Bow Front, Bustier, Button Down, Empire, Halterneck, Strapless, Tie-Waist, Tunic, Wrap

SKIRT
A-Line, Asymmetric, Body Con, Bubble, Frills, Full, Kilt, Pencil, Peplum, Petticoat, Pleated, Skort, Tulip, Wrap

PANTS
Boot Cut, Boyfriend, Capri, Cargo, Carrot, Chino, Drop Crotch, Dungarees, Flared, Harem, Jeggings, Pleat-Front, Relaxed, Skinny, Slim, Straight, Tapered

WaistSize A numerical value that indicates the waist measurement for trousers and jeans. The value must be within those expected by Amazon.
OccasionLifestyle Business
Casual
Ceremony
Evening

Before you can send the generated offers to Amazon you need to create a configuration to specify what data to send and how to send it.

In this guide we will see specifically the operations to be carried out for the publication of products not present on Amazon.

thumb amazon new offers sending

We will find the section used for this purpose under the heading:

Marketplace >> Amazon >> Actions on products/offers

In this section there are fields to fill in such as:

  • Configuration name: identifier so that we can later remember the function of the configuration.
  • Marketplace: Select the market for the products to be published
  • Operation type: select the type of action that the connector will perform
  • What offer statuses to send: Select the offer statuses that the connector should consider when publishing
  • Replace any existing data by deliting those present? - to be used only in special cases to reset all offers and reload them from scratch.
  • Exclude from sending ofers without barcode? - it is possible to avoid sending products without barcode, if any.
  • Send related products: possibility to choose whether to send all products, or only the parents, only the children, or only those without variants.

At this point it is also necessary to specify in detail which data to send. So in the section Send offer and / or product data? select Yes. You will be able to access a series of options available for sending to Amazon.

It is also possible to specify in detail which data to send.

  • Product condition: new or used
  • Name: product name.
  • Descriptions: Includes the general description and bulleted list.
  • Brand: brand name of the product.
  • Manufacturer: manufacturer name.
  • Keywords: list of words used by Amazon to search for the product.
  • Categories: product classification within Amazon categories.
  • Product dimensions and weight: data relating to product measurements.
  • Variant data and specific attributes for the product category: data relating to the attributes and variants foreseen in the configuration.
  • Dimensions and weight of the item packed for shipment
  • Additional Publication Data: Additional information such as the availability of gift packages or greeting messages.
  • Launch and Release Dates: Control when the offer will appear (launch) and be available to buyers (release).
  • Safety data and regulations: reference to European directives on safety to be applied.
  • Shipping group data
  • Manufacturer's Recommended Price: Under Amazon's new rules for displaying discounted prices, you must use this option to display the original price of the product above the discounted price. By checking this field you will therefore have the possibility to select the price list, from which the full price of the products will be extracted, to be sent to Amazon together with the discounted prices.

In the specific case of creating new products, select all the options you want to be sent to Amazon.

Continuing with the configuration, you can choose the other information to send to Amazon.

  • Send variant relationships: Creates matches between parent products and linked variants.
  • Send images: allows the sending of images linked to the Amazon offer.
  • Send prices: send the prices for the desired offers; the data are taken directly from the bindCommerce product list, selected from the set list.
  • Submit B2B Pricing: Option available to Amazon Business users. Select the reference price list intended for Business offers
  • Send quantity: sends the update on quantities for the desired offers, the data can be taken from the bindCommerce product list, from the value of a specific attribute, or can receive a fixed value.

There are also further options regarding the methods of sending and publishing:

  • Marketplace: the marketplace on which you want to publish the products.
  • Type of operation: Creates or completely updates the record, deletes the previous data and completely replaces it with the new ones. Create or update only the information sent, change the data on Amazon related to the ones sent but will leave everything else intact.
  • It replaces any existing data by eliminating those present: to be used only in special cases to reset all offers and reload them from scratch.
  • Exclude adverts without barcode from sending ?: it is possible not to send products without barcode, if any.
  • Send related products: possibility to choose whether to send all products, or only the fathers, only the children, or only those without variants.
  • Where to pick up the processing times? - you can choose whether to withdraw them from the offer, in the case of fixed data, or from an attribute, in the case of different processing times for each item

 

Offer sending connector

Once the rest of the configurations are finished, all that remains is to prepare the connector that will take care of sending the offers to Amazon.

thumb amazon new offers sending2

Process--> Connectors

Click Add at the top right to create a new connector, fill in the fields as follows:

  • Connector Name: Choose the desired name
  • Node type (technology): in our case it is Amazon Marketplace
  • Node: the node created earlier
  • Connector Type: Amazon Marketplace [Product Operations]

By clicking on Save and continue the page will update the additional required fields.

  • Do you want to recode SKU? - Premium function. Allows you to manage the correspondence between the SKUs present on bindCommerce and the different (but corresponding) SKUs present on external platforms
  • Execution in simulated mode: the execution of the connector will not be effective, but the log will show the number of products that it would have extracted in normal execution
  • Configuration: select the configuration created before
  • Filters on the records to be treated (products): select the filter on the products from the drop-down menu, among those previously created. To create a new product filter, see the Product Filters guide.
  • Run the connector immediately? - Select yes if you want the connector to run as soon as it is saved. Otherwise, just click on Save and close and insert the connector into an automatic procedure.

 

Tutorials

bindCommerce platform
Nodes
Creating a Web Server node to publish images
Connectors
Procedures
Logs
Products
Categories
Product attributes
Price lists and prices
Manufacturers
Alternative descriptions
Payment and shipping methods
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Filter setting on products
Filter setting on orders
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Differential approach
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How to use templates
Template gallery
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Responsive photo gallery in eBay description
Creation and activation of a connector to create/update alternative descriptions
Match categories
Update Price List
Dynamic currency conversion
Internal processing script
Attribute enrichment script
Barcode type calculation
Generation of derived products
Order transformation
Quantity rules
Distribution grid
Conversions and normalizations
Conversions
Currency conversion
Order status normalization
SKU recoding
Marketplaces
eBay integration
eBay nodes installation
Matching with eBay categories
Sales terms
Parameters for listing generation
eBay listing generation
Download listings from eBay
Fixed price sale or auction
eBay listing details list
Listing update
Early ending of listings
Relisting
Responses from eBay and related logs
The automated workflow
Download orders from eBay
Download categories from the eBay shop and match with product categories
Matching of eBay categories international markets
Copy Manufacturer and MPN to Attributes
Amazon integration
Amazon node
PRE-SALE ACTIVITIES
Amazon listings and details
Creation and publication of products/offers to Amazon
Set up Amazon shipping templates
Products already on Amazon
Parameters configuration for preparing Amazon offers
Amazon offers generation connector
Creation of products already present on Amazon
New products publishing
Parameters configuration for preparing Amazon offers
Creation of products not present on Amazon
Amazon offers generation connector
Matches with Amazon categories
Selling on Amazon: Attributes tutorial
Clothing category tutorial
Shoes category tutorial
Responses from Amazon and related Logs
AFTER-SALES ACTIVITIES
Download orders from Amazon
Order status update from bindCommerce
Amazon Business integration
PRE-SALES ACTIVITIES
B2B prices
VAT classification
Discounts for quantities
AFTER-SALES ACTIVITIES
Amazon Business order download
Billing management
Upload invoices issued by Danea
Download invoices on Danea
Transfer of invoices issued by Amazon to Danea
Delivery preferences
ePrice integration
ePrice listings preparation
ePrice node installation
Sending ePrice listings
Download ePrice orders
Creation of sample product files
Orders update to ePrice
ManoMano integration
ManoMano nodes installation
Send listings to ManoMano
Download orders from ManoMano
cDiscount integration
Category matching
Shipping methods mapping
Cdiscount node
Couriers mapping
Publishing new products on cDiscount
Publication of offers on Cdiscount
Import orders from Cdiscount
Cdiscount problem fixing
Allegro integration
Allegro node installation and configuration
Create Allegro Category Matches
Publishing products on Allegro
Product update on Allegro
Import orders from Allegro
AliExpress integration
AliExpress node installation
AliExpress category matching
Publishing products on AliExpress
Product groups and AliExpress brands
Download orders from AliExpress
Wish integration
Wish node installation
Publishing products on Wish
Carrier mapping for Wish
Download orders from Wish
Order update on Wish
Zalando integration
CONNECTED RETAIL
Zalando node installation (CR)
Offers management on Zalando (CR)
Import orders from Zalando (CR)
Leroy Merlin integration
Leroy Merlin node installation
Leroy Merlin pairing categories
Export products on Leroy Merlin
Offers publication on Leroy Merlin
Offers update on Leroy Merlin
Delete products/offers on Leroy Merlin
Downloading orders from Leroy Merlin
Orders update on Leroy Merlin
Conrad integration
Conrad node installation
Conrad category matching
Product creation on Conrad
Sending offers on Conrad
Removing products/offers from Conrad
Update offers on Conrad
Import orders from Conrad
Order update on Conrad
eCommerce
VirtueMart integration
VirtueMart node
Download orders from VirtueMart
Upload orders on Virtuemart
Upload products on VirtueMart
Download products from VirtueMart
Download product link from Virtuemart
WooCommerce integration
WooCommerce node
Download orders from WooCommerce
Download configurations from WooCommerce
Uploading orders on WooCommerce
Product publishing
Import products from Woocommerce
Plugin bindCommerce for WooCommerce
Prestashop integration
Prestashop node installation
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Download orders from Prestashop
Downloading products from Prestashop
Product publishing on Prestashop
Connector for downloading Prestashop configurations
Magento integration
Magento node
Download orders from Magento
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Product publishing on Magento
Import of Magento products
Shopify integration
Shopify node
Products import from Shopify
Publishing products on Shopify
Download configurations from Shopify
Integration of Mlveda's Multi Country Pricing App
Download orders from Shopify
Upload orders on Shopify
OpenCart integration
OpenCart node installation
Publishing products on OpenCart
Download orders from OpenCart
Import products from OpenCart
Uploading orders on OpenCart
Ecwid by Lightspeed integration
App installation and connection
Publishing products on Ecwid by Lightspeed
Import products from Ecwid
Import orders from Ecwid
Export orders from Ecwid
Social Networks
Facebook Catalogue integration
Configuring the Facebook Catalogue feed
Price comparators
Google Shopping integration
Translation and content enrichment
Integration with Google Translate
Integration with Icecat
Payment systems
Integration with PayPal
Import files
File format
Data file import
API for developers
API node
Export Orders
Import Products
Export Products
Documents import
Shipping update (legacy)

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