The funding will support product development, customer deployment capacity and international expansion, according to the company.

The core argument Loops is making is structural rather than feature-level. Most retailers that have adopted AI have done so one workflow at a time: a search upgrade here, a chatbot there, a catalogue-writing tool somewhere else. Each system carries only partial context about the shopper and the product inventory, creating seams in the customer journey that erode conversion.

Loops says it addresses that by building all the components on a shared layer that holds the retailer’s catalogue data, business context and the shopper’s in-session intent simultaneously. The claim is that improvements in one module reinforce the others: richer catalogue data sharpens search results, better search gives the shopping assistant more accurate context, and customer conversations surface gaps in product information.

Ilker Selim Zorluoglu, president and co-founder, said: “A retailer does not need five different AI products that each understand one slice of the customer. It needs one system that understands the catalog, the business and what the shopper is trying to do.”

The company reports over 70 customers and pilots. Turkish supermarket chain A101 and fashion retailer Mavi are named customers. Loops says sessions on A101’s platform involving its tools showed roughly 83% higher observed purchase conversion compared with a non-platform segment, though it acknowledges the figure is observational and not derived from a randomised controlled test. Separately, the company says 64% of pilots have converted into paying customers.

Fareed Mosavat , investment partner at a16z Speedrun, pointed to that pilot conversion rate as evidence of demand.

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