Algori is the first and only next-gen shopper panel used as a reference data source for 30+ major FMCG brands in Europe

• Algori is the first AI-enabled next-gen shopper panel used as a reference data source by 30+ major FMCG brands in Europe
• The €3.6M round was backed by new and all existing investors, including Red Bull Ventures and Tech Transfer Agrifood
• Funding will accelerate growth in Europe and Latin America and expand Algori’s panel and data capabilities
• Algori delivers near real-time, SKU-level shopper insights across leakage, basket composition, pricing and promotions
• Powered by 45,000 weekly panelists in Spain, the platform updates FMCG companies in days instead of the weeks required by traditional panels

MADRID, Spain (December 9, 2025) – Algori, the purchase and behavioural data platform built for the FMCG industry, has secured €3.6 million in additional growth capital. The round attracted new investors including Red Bull Ventures, Tech Transfer Agrifood (Clave capital), Co-Invest Capital, AttaPoll, and Firstpick, and also saw strong participation from existing investors Shilling, Flashpoint, and Change Ventures. The company’s investor base also includes industry veteran Jared Schrieber, co-founder of InfoScout and former Numerator board member, who led Numerator to its $1.5 billion acquisition by Kantar. The funding will support Algori’s planned European and Latin American expansion. It will also bolster its shopper panel capabilities and accelerate development of new AI-enabled insights solutions, all to better meet the evolving needs of FMCG manufacturers and retailers.

The FMCG industry depends on detailed shopper data to make decisions on distribution, pricing, promotions and assortment, as well as to guide innovation and category strategy. However, consumer behaviour remains fragmented across channels, and traditional household panels continue to rely on small samples, typically between 4,000 and 20,000 active panelists, that are then statistically adjusted to represent an entire national population.These limitations, combined with slow data cycles and restricted SKU coverage, leave both manufacturers and retailers without the reliable, timely purchase data they need to defend or grow shelf space in an increasingly concentrated European retail landscape.

To bridge this gap, Algori captures purchase data directly from shopper receipts, both physical and digital, submitted through its consumer apps. The receipts run through Algori’s proprietary AI classification engine, which interprets and structures every item at the individual product-code level. This AI-led approach delivers high-granularity, SKU-level insights by retailer, category and shopper group, without relying on retailer integrations and at a speed unmatched by traditional panels. With 45,000 weekly panelists in Spain, Algori is able to provide near real-time visibility into how shoppers behave, and companies receive this updated data just four days after month- or quarter-end. Traditional panels can take up to seven weeks.

Andrius Juozapaitis, co-founder and CEO of Algori, said: “The shopper panel industry is undergoing a structural shift. Manufacturers and retailers want more granular data delivered faster, and traditional panels simply cannot do that at the depth required. Our approach diverges by combining artificial intelligence technology, scale, and data recency. Outside of VC funds, we’re now backed by FMCG companies intent on solving their own data challenges. It’s an enormous endorsement from within the industry, and proof FMCG stakeholders understand the value of the most granular, high-frequency purchase insights platform for Europe and beyond.”

Algori’s data set covers full shopping baskets, store-level pricing changes, purchase missions, and retailer format-level patterns with far greater depth. Unlike traditional panels, which lack the granularity to capture anything beyond the top brands, Algori leverages AI to deliver this information at the individual product-code (SKU) level across a much broader range of products and manufacturers. In practice, these fast and granular insights help manufacturers and retailers understand category performance, shopper leakage, basket composition, and the impact of pricing and assortment.

Based in Madrid with a product and engineering subsidiary in Vilnius, Algori operates with an 18-person lean team. The platform is already used by global FMCG brands, established market leaders, and private label manufacturers. This includes the majority of Spain’s top 15 grocery chains and over 20 leading manufacturers, plus multinationals like L’Oréal, Coca-Cola, and Tetra Pak.

Pedro de Alava, Fund Manager at Tech Transfer Agrifood (Clave Capital), said: “Algori’s technology provides a more advanced way to capture shopper behaviour, which results in faster and more granular visibility across categories. This level of insight helps the industry and retailers organise new launches and monitor sales. It is a high-performing team that combines experience and expertise from both brand and market intelligence. After seeing Algori in action and validated in Spain, we are pleased to support Algori as they scale across Europe and beyond.”

Ricardo Jacinto, Partner at Shilling Capital (the VC arm of Draycott), said: “Algori has been ahead of the curve for some time in FMCG data. Their panel combines modern technology with a lean and cost-effective model, while delivering the most granular, flexible and transparent insights in the market. We have been following their journey closely, and it is clear to us that the FMCG industry will increasingly choose this type of solution. We are excited to double down on our previous investment with a team that is building tools elevating how brands and retailers understand the market and their consumers.”

This round brings Algori’s total funding to €7.5 million. European expansion plans will begin with multiple markets, such as Poland, Germany and France, with Latin America to follow. The company will also enhance its shopper panel capabilities by collecting additional purchase and behavioural data, and develop new insight solutions that address the evolving needs of FMCG manufacturers and retailers.