- Eebz’s proprietary technology signals a breakthrough in digital shelf analytics
- New models deliver cost-efficient, accurate, real-time data
Eebz, a leading digital shelf analytics provider, today announces the launch of its new suite of next-generation, proprietary, foundation models built for e-commerce 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.
According to Gartner, poor data quality costs companies, across all industries, an average of $12.9 million every year. Backed by a £10 million investment in AI infrastructure, the rollout of Eebz’s technology marks a significant shift in how brands capture, structure and react to e-commerce intelligence.
Rather than relying on fragmented scraping or delayed third-party datasets, Eebz’s unique offering continuously analyses publicly available e-commerce signals. This builds a real-time, SKU-level view of the digital shelf.
A key innovation is a self-correcting data engine. It automatically detects and adapts to changes in retailer websites. For brands, this reduces the cost and complexity of maintaining large-scale scraping systems. It also significantly improves reliability and continuity of data capture. As a result, businesses benefit from near real-time visibility and minimal data disruption. This is a major improvement over industry norms, where updates can lag by several weeks.
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.
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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. Understanding what drives conversion and acting on it with greater confidence can improve digital shelf performance – Eebz’s specialism.
James Sicilia, Head of Data Engineering at Eebz, says: “The system is powered by 12 interconnected foundation models that work together to deliver visibility across the full product lifecycle. From launch through to delisting, the technology can analyse how products are positioned and sold across retailers.
“Eebz customers can now track products with complete accuracy, automatically matching listings to exact SKUs and monitoring them the moment they go live. This enables teams to focus on the products that drive performance. By using lifecycle intelligence, they can cut through noise and prioritise commercial action.
“Customers can also gain a clearer understanding of retailer strategy at a granular level, including how different retailers structure and manage their ranges, and which products they are likely to stock.”
Eebz was founded by e-commerce specialist Peter Laughton to address the structural limitations in digital shelf analytics. With a background in data-led product and e-commerce environments, he recognised that brands were increasingly dependent on fragmented, inconsistent, and delayed data sources to understand online retail performance. Commenting on the latest innovation for the brand, Peter says: “Bad data in e-commerce is quietly eroding profitability. Over time, it leads to inaccurate forecasting, operational inefficiencies, and a breakdown in customer trust, ultimately constraining growth, weakening competitive advantage, and, most critically, reducing profitability.
“With this launch, Eebz positions itself at the forefront of a shift. We are moving from reactive analytics to predictive, intelligence-led decision-making in e-commerce. By combining automation, machine learning and our team’s deep understanding of retail dynamics, we can give brands the tools they need. This helps them compete more effectively in an increasingly complex and fast-moving digital landscape.
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“We are redefining digital shelf analytics by eliminating inefficiencies and providing immediate access to commercial insight that can transform e-commerce strategies.”
About Eebz
Eebz is a digital shelf analytics platform purpose-built for consumer electronics and technology brands. Trusted by Sony, Samsung, Logitech, Turtle Beach and Warner Bros Games, Eebz monitors 1,500+ retailers across 80 countries with 95%+ scraping accuracy, updated multiple times per day. Ada, its agentic AI sales agent, operates according to published core values — including a commitment to transparency with buyers, human oversight of sensitive decisions, and a principle that a deal only has lasting value if both sides benefit. Full details are available at eebz.com/blog/ada-core-values. Eebz is headquartered in Windsor, UK.