Product Data Enrichment with 
Good advice starts with complete product data.
Hiking boots or a ski jacket: more and more shoppers ask ChatGPT, Gemini and other AI assistants before they buy. What the AI recommends depends on the product data. The more complete and accurate it is, the more likely a product is to be recommended. Together with Frontnow, OUTTRA uses AI to fill in missing product data. So shoppers get good advice online too – and find the right products.
Product Data Enrichment in numbers
-75%
time to market for new products
85+
languages, automatically
2,000+
retailers in the ecosystem
What our customers say
Already in use, with measurable results.
“Frontnow has taken our product descriptions to a level we could never have reached manually – clean, consistent and multilingual.”
“Twelve languages and consistent attributes in one go – our manual editing never managed that.”
The new customer journey
Shoppers buy what the AI recommends.
More and more shoppers ask ChatGPT and other AI assistants for product recommendations. Only then do they click through to a shop. The AI Market Report shows which brands and shops the AI recommends.
53steps from search to purchase
- 1Google search
- 2Ten links
- 3Click
- 4Shop
- 5Purchase
- 1Question to the AI
- 2Answer with recommendation
- 3Purchase
Many clicks, many chances. If you were on page 1 of the search results, you could still sell from position 3.
Fewer steps between question and purchase. Brands and shops need to be in the answer itself.
For that, the AI needs complete product data.
The data problem in retail
Many brands, many formats, many gaps.
Every brand supplies its product data differently. It takes weeks to turn it into complete product pages.
Formats
Every brand supplies data differently
Excel, XML, PDF or CSV: every file has to be prepared before it can go into the shop.
Quality
Attributes are missing
If “waterproof” is missing, the jacket doesn’t show up in the filter. The item is in stock, but shoppers can’t find it.
Time
Weeks to market launch
At the start of the season, data maintenance ties up the team. Every week of delay costs visibility and sales.
AI enrichment
Raw data becomes complete product pages.
With the Data & Image Hub, OUTTRA provides the data foundation and an ecosystem of more than 2,000 retailers. Frontnow provides the AI that turns this into complete product copy – proven at Jumbo, Coop and Livique. For brands and retailers, that means one contract with OUTTRA, with Frontnow’s technology included.
- EnrichAdd missing attributes to match the category
- WriteTitles and descriptions that search engines and AI cite
- TranslateMore than 85 languages, with industry terminology
- DeliverIn the format your shop, marketplace or PIM needs
- ReviewEvery record traceable, checked manually only where you want
ROI calculator
What enrichment brings a shop.
Six figures from your own shop. The calculator gives a conservative view of the return after twelve months.
Result after 12 months
–
Additional revenue per year
–
Net profit per year
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ROI in the first year
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Payback period
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Investment in the first year
Conservative model: +4% visitors, +3.5% conversion, +1% order value (Frontnow benchmark, including Jumbo). The investment depends on the number of items. Enriched items per year: –.
Guided onboarding
Five steps to complete product pages.
No change of system: your PIM, shop and processes stay as they are.
Step 1
Import
Product data comes from your PIM, ERP or Excel. An EAN list is enough too.
Step 2
Mapping
In a joint onboarding session, we define how your existing product data maps to the attributes in the target format.
Step 3
Enrichment
The AI adds attributes, writes copy and translates it.
Step 4
Review
Every record is traceable. Your team only checks where it wants to.
Step 5
Delivery
The data flows back into your shop or PIM automatically – live in days, not months.