The U.P.C. Data Market
Providing the most complete Database for Food and Beverage Items... for Convenience
Stores, Small Footprint Grocery Stores, Liquor Stores, Cigar Lounges and Smoke Shops,
and Recycling Firms
The demand for accurate Product
Information has skyrocketed. The evolution of new Technologies, increasing Governmental
Regulation on Foods and Beverages, and the growing sophistication of Consumers have
placed an untenable burden on Manufacturers and Retailers.
One way to meet the need for this
Data Explosion: User Supported (Users do the Data Entry) and/or Web Harvesting
(Web Scraping) Web Sites.
- Question - what about accuracy?
Another way: Product Look-Up Web Services (API's, SaaS, etc.).
- Question - how effective is obtaining one record at a time?
And yet another way: Sponsored Data Libraries - Manufacturer's send Products to these
Firms, and pay to have their Products included in the Database.
- Question - what if a Manufacturer doesn't participate?
Yes, Company information is available from GS1, but Product Information (the SKU,
corresponding U.P.C., and Product Attributes) is not.
Inaccurate and Incomplete Data not only dilutes or damages a Brand Name, but also
results in Missing Records, and, if used in a "Mission Critical" Application
(say, Health and Wellness Application), can endanger the User.
The Solution - The Digital
Product Information Catalog (aka The Database):
The largest, Fully Attributed,
Item Level Database (for Food and Beverage), indexed by U.P.C and EAN, created from Data
and Package Labels supplied by the Manufacturer, fully Categorized, and continuously
Put simply, this Database is THE "single version of the truth" for Manufacturers, Distributors,
Retailers, Business Analytics Firms, and Developers.
Top Level Categories in The Database
Packaged Foods (National Brands and Private Label / Store Brand Items), Perishable
Foods (Produce and Deli Meat), Food Supplements, Beverages (Alcoholic [Beer, Wine,
Liquor, Mixers] and Non-Alcoholic ), and Tobaco (Cigars, Cigarettes, Snuff, etc.).
Data Fields and Field Sets include:
U.P.C., EAN, PLU, MT (Meat Track) Code, GS1 Manufacturer Name, Brand / Brand Line, Item Name,
Description, POS (Point of Sale) Name, Container, Imperial and Metric Size and Unit of Measure, the complete FDA
Nutrition Fact Panel (compliant with the 2018 Revisions), Ingredients, the complete
FALCPA (Allergen) Statement, and Temperature Warnings.
And these Fields set The Database apart:
Categorization (NACS or Grocer Cat), Endorsements (OU Kosher, USDA Organic, etc.),
Country of Origin, Health Claims (Gluten Free, Non-GMO, etc.), FDA Nutrition Fact Panel
Values for Food Prepared, Allergen Notation for Primary / Cross Contamination
/ World Standard Items, and the FDA SR28 Interface (linking the U.P.C. to the SR28 Index Number).
For a Sample of The Database, in Excel -
A sampling of ideas (and Clients / Client Uses) for The Database:
Create Simple and Complex Queries to identify:
Items that are: Gluten Free (iPhone App - Now Find Gluten Free), Kosher (Dallas Kosher), Low in Phosphorous
(University of North Carolina), Non-GMO, etc.
For Governmental Regulations, Queries can be used to identify:
Store Items qualifying for: WIC (USDA), SNAP (Mapco Express), etc. and Material qualifying for Recycling,
Create Reports for:
FDA Menu Labeling Requirements (UCSD), Manufacturer / Brand Name Cross Reference (Amazon),
Product Data Sheets (New Nordic), etc.
Use Item Description and Endorsement Data for:
Pantry Management (UAHC - selected Food Banks), Grocery Delivery Services (Instacart),
Grocery Shopping List Creation (Grocery IQ), etc.
Use Nutrition and Ingredient Data for:
Health and Wellness (H2 Wellness), Dietary Management (Weightplan), Food Rating System
Support (Lifetime Fitness), etc.
Use Nutrition, Ingredient, and FALCPA Data for:
Isolation of Food Allergens (My Food Facts), Food Related Diseases (Nutrisystem), Chronic
Food Conditions (App Innovations), etc.
Append Item Description data for:
Database Cleansing (Pivot Tools, Data Consultants), Product Catalog Completion (Fetch
Rewards, White Rose), etc.
Append Item Description, Endorsements, Country of Origin, Health Claims, etc. for:
Enhanced Shelf Tag Labels (Vestcom), Promotional Marketing (Grocery Shopping Network), etc.
And for Complex Uses:
Append The Database to:
Store Sales Data, providing Business Analytics Insight beyond X Number of Units
for Y Number of Dollars in Z Number of Days (Pepsi is able to identify competitor items
that are higher in Sodium, lower in Fat, contain MSG or Potassium Sorbate, etc.)
Use Nutrition and Restaurant Data to:
Create dynamic Nutritional Computations for Recipes (per the FDA Menu Label Guideline,
Green Tree Market [Opening Winter 2017] is able to calculate Recipe Nutrition Values
for Food Service Offerings, and instantly display changes for different Ingredients)
Use Combinations of Criteria in The Database to:
Create complex Queries to isolate Foods meeting Endorsement and Rating Systems (The American
Heart Association is able to identify Items - that qualify for the Heart Healthy Checkmark - based
on Criteria for Fat, Saturated Fat, Cholesterol, Sodium, Carbohydrates, Sugar, etc.)
Who else uses The Database:
Manufacturers - Dr. Pepper, Pinnacle, Kraft
Retailers - Albertsons, Royal Ahold, Safeway, Publix
Distributors - Southern Wine, Republic NDC, Kehe, Sysco
U.S. Government - FDA, ARS, ERS, DHS
Top Level Data Verification Steps:
1 - Verify and/or Normalize the U.P.C.
to GS1 Standards - U.P.C.-E (Eight Digits), EAN-8 (Eight Digits), U.P.C.-A (Twelve Digits) and
EAN-13 (Thirteen Digits)
2 - Verify and/or Validate the U.P.C. / EAN Prefix with the GS1 Manufacturer of record
3 - Verify the Brand, Brand Line, and Product - where possible - through the Family Code
and/or other Items in the Database from the same Manufacturer
4 - For the FDA Nutrition Fact Panel, Validate the Percent Daily Value based on FDA
5 - Also for the FDA Nutrition Fact Panel, Validate the Sum Total Fields (Fiber, Sugar, and
Other Carbs cannot exceed Total Carbs, etc.)
6 - For Ingredient Data, Validate Sub Ingredient Items (Enriched Wheat Flour should have..., etc.),
Punctuation (Commas, Brackets, Parenthesis, etc.), and Ingredient Order Formatting
7 - Validate, Correct, and Normalize both Spelling and Related Description Verbiage
8 - For Errors on the Item Package (any of the above Steps above), Notation is provided
Additional Quality Control Checks that insure The Database is as
accurate as possible.
The Database - Licensing and Particulars:
For a Pro Forma End User License Agreement
Complete Data Files can be
delivered in ASCII Text, Excel, or Access formats.
Monthly and Quarterly
Updates are available.
For further information,
please contact us at 469-277-6750, or via E-Mail.
For those who require Professional
Consulting in the areas of: U.P.C. Consulting or Data Cleansing, click