For AI Shopping Apps

Turn product search into
product intelligence

Shopping apps need more than search. They need structured specs, cross-retailer pricing, alternatives, and knowledge to help users make real purchasing decisions — not just scroll through results.

Shopping apps are stuck on search, not answers

Your users don't want ten blue links. They want to know which product is best, where to buy it cheapest, and whether it's worth the money.

Search returns noise

Keyword search across retailers gives duplicate results, inconsistent names, and no way to compare the same product across stores. Users scroll endlessly instead of deciding.

Missing context

Users want to know: Is this a good price? What’s the alternative? How long will it last? Shopping apps can’t answer without structured data behind the product.

No variant awareness

Same dishwasher in 4 finishes shows as 4 separate products. Users see clutter instead of options. There’s no grouping, no “also available in” — just noise.

How Covala powers shopping apps

From search results to purchase decisions

Cross-retailer pricing

One product, prices from 20 retailers. Show users the best deal instantly without scraping or managing data feeds. Prices are normalized and updated regularly so your app always shows current data.

20 retailers, normalized pricing

Smart comparison

Structured specs make side-by-side comparison trivial. Filter by what matters: noise level, energy rating, capacity — not marketing copy. Let users compare on the dimensions they actually care about.

Typed specs, filterable fields

Variant grouping

Product groups collapse finishes, sizes, and configurations into a single view. Users browse options, not duplicates. One product card shows all available variants across retailers.

Grouped by model, color, size

Purchase intelligence

Knowledge layer adds buying guides, cost of ownership, and lifespan data. Help users buy smarter, not just cheaper. Surface the information that turns browsing into confident buying.

Guides, lifespan, cost of ownership
In practice

From search to purchase confidence

A user searching for a quiet dishwasher gets structured results, cross-retailer pricing, variant options, and ownership context — all from one API.

1
Search

User searches “quiet dishwasher” — Covala returns products sorted by noise_level spec, not keyword relevance.

2
Compare

User picks Bosch 500 Series — sees prices from 3 retailers and 4 finish variants in a single view.

3
Decide

App shows the full picture: 44 dBA (excellent), $849–$949 depending on finish, 10–12 year lifespan, $975 total cost of ownership over 5 years.

Example response

What your app can show

Structured data turns a product page into a decision tool.

product detail
Bosch 500 Series 24" Dishwasher
Noise level
44 dBA (excellent)
Pricing (3 retailers)
Best Buy $899
Home Depot $879
AJ Madison $849 best price
Variants
4 finishes: Stainless, Black Stainless,
White, Custom Panel
Ownership
Lifespan: 10-12 years
5-year cost: $975 total
50K+
Products
19
Retailers
600+
Product Types
Real-time
Pricing

Add product intelligence
to your shopping app

Stop building scrapers and matching pipelines. Give your users cross-retailer pricing, structured specs, and buying intelligence from one API.

REST API + structured specs + cross-retailer pricing