Eebz, a digital shelf analytics provider, has launched its new suite of foundation models built for eCommerce data extraction and intelligence.

The models are designed to address long-standing challenges plaguing digital shelf analytics, including data inaccuracy, high operational cost and latency in insights.

Backed by a £10 million investment in AI infrastructure, Eebz says the rollout of its technology marks a significant shift in how brands capture, structure and react to eCommerce intelligence.

The models eliminate false gaps and missed opportunities by moving beyond generic availability tracking, surfacing only the gaps that have genuine commercial impact. The models also enable real-time measurement of market share and sales through continuously updated views of category performance and retailer sell-through, removing reliance on delayed panel data.

In addition, users can identify competitor activity earlier by detecting new product launches and shifts in ranging strategy, weeks or even months, ahead of traditional data sources.