Algori is an advanced consumer intelligence platform that leverages AI and receipt-scanning technology to deliver near real-time, SKU-level purchase insights for fast-moving consumer goods (FMCG) companies. Co-founder and CEO Andrius Juozapaitis spoke with Pulse 2.0 about the significant role of Algori in modern retail.

Juozapaitis, with a background in technology consulting and innovation, identified a critical gap in the availability of timely data for FMCG brands. Traditional data solutions often rely on outdated, aggregated statistics, leading to missed opportunities in rapidly changing market conditions. Algori addresses this issue by providing immediate, granular data based on actual purchase patterns, enabling brands to make informed decisions that align with current consumer behavior.

The platform’s core product features Spain’s largest shopper panel, with insights derived from approximately 45,000 active shoppers. This allows brands to evaluate product launches, optimize retail listings, and analyze consumer buying trends with unprecedented speed and detail. Notably, AI and machine learning automate data classification and extraction, significantly enhancing productivity—one team member can now oversee up to eight times more data processing than before.

Algori has achieved key milestones, including collaboration with Spain's top grocery chains and FMCG manufacturers, enabling daily tracking of competitor shopping behaviors. With €7.5 million raised, including a recent growth round, Algori aims to expand its presence beyond Spain and continue evolving its AI-driven solutions. The company’s mission is to empower FMCG brands with precise, actionable insights, ultimately positioning itself as the go-to operating system for FMCG growth.

Lowe’s has successfully integrated its AI-powered assistant, Mylow, to enhance customer experiences in the home improvement sector, responding to roughly a million inquiries monthly. This innovative tool, designed for both consumers and associates, showcases the retailer's commitment to tailored solutions for diverse customer needs.

Senior Vice President Chandhu Nair emphasizes the significance of the retail floor in gathering insights about Mylow. Launched over a year ago, Mylow assists DIY customers by consolidating home improvement guidance and relevant product suggestions, streamlining what was once a cumbersome process of searching through YouTube videos and blogs. This generative AI approach optimizes the shopping experience, making it simpler for customers to tackle complex projects.

For professional customers, Mylow Companion shifts focus to product availability and timely delivery, crucial for managing large projects. This capability has drastically reduced the time employees need to compile information for pro customers, from hours to under a minute, enabling them to provide quick, tailored recommendations with just a button press.

In addition, Lowe’s addresses language diversity by incorporating Spanish language functionality for both Mylow and Mylow Companion, reflecting the needs of its Spanish-speaking customers and associates. This adaptability underlines Lowe’s goal to evolve its AI tools, enhancing customer engagement and driving sales growth.

Overall, Lowe’s not only leverages AI technology to refine its operational efficiency but also actively seeks feedback to ensure the tools meet the evolving demands of its diverse clientele, ultimately transforming how customers interact with the brand.

PepsiCo has significantly enhanced its Gatorade brand through substantial investments in AI-generated designs aimed at personalization. Since implementing generative AI for their squeeze bottles in 2024, the brand has experienced a surge in consumer engagement, greatly benefiting from user feedback that informs ongoing innovation.

According to Leon Imas, VP of design, consumers increasingly expect brands to offer products that reflect their individual interests. AI has been pivotal in delivering this authentic personalization at scale. The initiative has produced over 215,000 unique bottle designs, leading to improved product recommendations, seasonal collections, and exclusive drops, as highlighted by Xavi Cortadellas, the general manager for Gatorade enhancers.

The AI capabilities have also facilitated effective cross-selling strategies. Custom bottle buyers often express interest in related products, such as hydration powders and consumables, boosting overall sales. In 2025, PepsiCo expanded this personalization approach to include customizable stainless steel bottles, achieving an impressive 11% conversion rate—more than four times the industry average.

To support this growth, PepsiCo invested in new manufacturing and printing technologies, ensuring high-resolution quality in consumer-selected artwork and colors. The company aims to broaden its personalization offerings across multiple bottle types, leading to increased Gatorade ID subscriptions and a 600% rise in custom squeeze bottle holiday sales.

Looking forward, Imas envisions expanding personalization to diverse products like towels and coolers, aiming to create a comprehensive platform where athletes can express their creativity through custom designs. This strategic use of AI not only enhances consumer experience but also drives substantial business growth.

Artificial intelligence has transitioned from concept to vital tool in retail, enhancing efficiency and elevating customer experiences. Retailers like Scott Kohno of Yama Sushi Marketplace in Los Angeles exemplify this shift. Through AI-driven scheduling platforms, Kohno has tackled employee turnover by creating fair, personalized schedules that accommodate individual preferences, leading to increased employee satisfaction and engagement. Such systems also offer real-time feedback, empowering retailers to address staff concerns swiftly.

In product assortment, AI analyzes customer data and market trends, helping retailers identify optimal products to introduce. Kohno notes that AI can determine trends in product sales, which aids in efficient inventory management and reduces waste. As a result, retailers can swiftly adapt to consumer preferences, ensuring their offerings remain compelling and timely.

Personalization remains crucial in retail, with AI enhancing tailored customer experiences. By processing personal data, AI enables retailers to streamline processes, allowing staff to focus on genuine interactions. Kohno emphasizes that the human touch is essential, as authentic connections attract customers and create memorable experiences.

AI also informs store design by analyzing customer movement, optimizing layout to enhance engagement. Retailers invest in striking architecture to create memorable, share-worthy experiences. Kohno cites Louis Vuitton's immersive stores as examples of how design can captivate consumers.

Finally, AI platforms like Momos aggregate customer feedback from various sources, allowing retailers to respond quickly and maintain customer trust. This combination of technology and personal connection cultivates a more responsive retail environment, blending efficiency with human creativity to enhance overall business performance.