See the market the way it looks on the shelf.
Costless brings together online prices, photos of physical price tags, flyers, and receipts into one comparable picture — for retail, brands, HoReCa, and technology partners.
Costless in brief
Costless.business is a retail market analytics platform that organizes market observations around a single product identity. That means prices, promos, distribution, and receipts can be compared across chains, addresses, and time periods.
These figures have different scope and time periods. View definitions, sources, and methodology →
One data foundation
Parsers see the online storefront. Tag Scanner sees the physical shelf. OCR reads flyers and receipts. The normalized catalog stitches it all together down to the individual product.
Olive Oil Extra Virgin 500ml104,90OLIVE OIL EV 0.5L99,90Olive Oil E.V. 0.5L — SALE94,90OL.OIL EXTR.VIRG 0.599,90OLIVE OIL EV 12x0.5L—Names, package sizes, and prices in this example are illustrative — this is what matching one SKU across five sources looks like.
Who it's for
Not one-size-fits-all dashboards, but concrete answers to the daily questions each role actually asks.
01 · Retail
✓Match confirmed · same EAN
Other chains' products are already matched to your SKUs, and new items are picked up automatically. Your team works with prices and decisions, not matching spreadsheets.
02 · FMCG
◈Presence: 11 of 12 stores
Track actual presence, price positioning, promo activity, and changes across your control assortment.
03 · Shelf
Price tag recognized · UAH 69.90
Tag Scanner turns shelf photos into recognized price tags: price, promo, and availability enter the system without manual re-typing — tied to the store address.
04 · HoReCa
5 of 6 · free coffee
A repeat guest costs less than a new one. Loyalty 51 brings people back: rewards for visits, campaigns per venue — and visibility into who hasn't come by in a while.
Product modules
All modules run on the same normalized catalog, so price, promo, and distribution in different reports always refer to the same product.
Regular, promo, and card price; online and offline; observation history and comparisons across matched products.
| Product | You | Chain A | Chain B |
|---|---|---|---|
| Milk 2.5% 1L | 42.90 | 41.50same EAN | 44.200.5L package |
| Cable 2×1.5 · per 1m | 18.40 | 17.90from a 100m coil | 19.10analog |
| Laundry Gel 3L | 289.00 | —out of stock | 275.00analog |
Control assortment, distribution across observed chains, price index, promo monitoring, and change signals — with visible freshness and completeness for every metric.
More about Brand Monitoring →
An assortment matrix by chain and address: gaps — products present in other chains but missing from yours; assortment overlap; expansion planning and analytics. Built on the same normalized catalog as prices.
OCR recognizes line items, prices, date, store, and receipt total; the campaign layer checks promo conditions and filters out repeat submissions of the same receipt.
A digital card with a “5+1” mechanic brings customers back: rewards for visits, campaigns per location, and a history for every guest. Launch in a day — no app, no hardware.
More about Loyalty 51 →Workflow
We start with your full catalog or with KVI — the products shoppers use to compare prices. The platform takes on the hardest part: matching your products with those of other chains.
Catalog · 12,480 SKUsFull catalog or KVI products: CSV, Excel, API, or a partner data feed. We define the chains, addresses, and scope of analysis.
Shelf · flyer · receipt · onlineOnline catalogs, physical price tags, flyers, receipts, and approved partner sources.
Match found · 0.5L ↔ 1LOur proprietary matching technology finds equivalents even where names and package sizes don't match. Confirmed matches stay in the system — the comparison base only grows.
▲ 6% above market · 38 SKUsYour assortment against every chain: where you're pricier, where you're losing margin, where a promo just started. Alerts, CSV/JSON/XML/HTML export, or API.
14 SKU present in Chain A, not in yoursA matrix by chain and address, assortment gaps and overlap — what to add to the shelf and where you already cover the market.
Proven in practice
Five campaigns in five countries for an international promo campaign operator: Receipt API turned over 40,000 receipts into verified results.
Security and privacy
Your catalogs, prices, and settings form your private layer: they never enter the global catalog or reach other clients. End-shopper personal data is handled on a minimized, aggregated basis — following GDPR principles.
Questions
Short answers about coverage, getting started, and data handling.
The platform monitors 100+ retail chains in 30+ countries. Data depth depends on the country, chain, and source: online prices, physical shelf, promos, or receipts. On the demo call, we show you real coverage for your specific assortment right away.
Whichever your team already works with. Clients typically upload either their full catalog or KVI — the products shoppers use to compare prices. We first check match quality and signal usefulness on that scope, then expand chains, addresses, and sources.
The architecture and processes follow a “privacy by design” principle: minimization, access control, aggregation, and anonymization. This is not a certification; the parties' roles, legal grounds, and specific scope of processing are set out in the contract and data processing agreement for your scenario.
No, B2B analytics should never be a showcase of personal receipts. Business decisions rely on structured checks and aggregated indexes within the agreed scenario.
Via dashboard, scheduled CSV/JSON/XML/HTML exports, or API. The format depends on the module and your team's workflow.
There's no open free trial or public price list. We first clarify your assortment, countries, sources, and desired outcome; after that conversation we can agree on a limited pilot and prepare a commercial offer sized to your actual scope.
Next step
For analytics products and Loyalty 51 — a short scoping brief. For Receipt API — a contact form about integration.