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Five versions of an item in. One correct record out.
AI maps, normalizes, completes and validates every incoming record. Your team reviews only what it isn’t sure of.
5
Steps from raw input to activated record
1
Governed record per item
GS1
Requirement sets every record is checked against
app.datacontroller.com / enrichment / review-queue
Golden Records
Connections
Data Pool
Enrichment
EPR
Unipro Foodservice
Enrichment / Review queue
Review queue
Approve all
Auto-applied
1,284
Above confidence threshold
Held for review
12
Needs a person
Avg. confidence
98.7%
Across 26 attributes
Description
BF PTY 4OZ 10/1
→
Ground Beef Patty, 4 oz
97%
Net weight
0.25 lb
→
113 g
99%
Packaging
—
→
Corrugate case, LDPE liner
82%
Allergens
—
→
Wheat
74%
The problem
One item. Five systems. Five answers.
The same beef patty, as it appears across the supply chain today. Nobody is wrong on purpose. Nobody agrees, either.
Manufacturer ERP
Beef Patty 4 OZ
Net weight
113 g
GDSN
Ground Beef Patty, 4 oz
Net weight
4.0 oz
Distributor catalog
BF PTY 4OZ 10/1
Net weight
0.25 lb
Buying group
Beef patty (4oz)
Net weight
Missing
Operator menu
Quarter-pound patty
Net weight
Missing
How it works
Every cycle improves the record.
Each record passes through the same five steps every time it changes. People approve only what the model isn’t confident about.
01
Clean
Fix formats, units and obvious errors.
02
Enrich
Complete missing attributes from trusted sources, and label them as enriched.
03
Validate
Check against GDSN requirement sets and your own rules.
04
Synchronize
Send the corrected record to every connected system.
05
Activate
Put it to work in catalogs, ordering, compliance and AI tools.
What comes out the other side
Validated
Ground Beef Patty, 4 oz
Description
Ground Beef Patty, 4 oz
Corrected
Net weight
113 g · 4.0 oz
Corrected
Allergens
Declared
Packaging material
Corrugate case, LDPE liner
Enriched
GTIN
10071234567890
Every attribute reconciled, every unit consistent, every gap either filled or flagged. This is the record catalogs, ordering systems and EPR filings all read from.
Capabilities
AI that does the work, with people in control.
Proposed mapping
Incoming fields matched to the item record automatically, with a confidence score.
Brand
Matched
Pack size
Corrected
Allergens
Proposed
Net weight
Needs review
Normalization
Units, descriptions and formats made consistent across every source.
Attribute completion
Missing values filled from trusted sources and flagged as enriched.
Validation
Every record checked against GDSN requirement sets and your own rules.
Review by exception
People approve only what the model isn’t confident about.
Learns from corrections
Every correction improves the next proposal.
Who it’s for
For anyone who inherits someone else’s data.
Manufacturers
Publish records that are complete before a partner has to ask.
Distributors
Turn hundreds of supplier formats into one catalog you can trust.
Buying groups
Give members item data that agrees, across every supplier and distributor.
FAQ
Questions about how the AI works.
Does the AI change my data without approval?
Needs input
Only when you allow it. High-confidence fixes can apply automatically, and everything else waits for review.
Where does enrichment data come from?
Needs input
Your own sources first, then trusted references like manufacturer and GS1 data. Every value keeps its source.
Can I see why a value changed?
Yes. Every change is recorded with its source, so any value can be traced back.
Is my data used to train models for other customers?
Needs input
No. Your data is used to serve your account only. Ask us for our full data policy.
Get a demo
See your item data enriched.
Send a sample export and we’ll show you what’s ready, what’s missing and what the AI would propose.
Platform
Intelligent Data Layer
Company
Get a Demo
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