Overview: A New Era of In-Store Personalization
Honeywell, in collaboration with Google Cloud and 66degrees, today unveiled a new smart shopping platform designed to bring AI-powered personalization and seamless navigation to brick-and-mortar retailers. The initiative leverages Google’s advanced artificial intelligence to tailor shopper experiences in real time, blending digital intelligence with physical retail to create more efficient and engaging stores.
How the Platform Works
The solution integrates Honeywell’s hardware and software ecosystem with Google Cloud’s AI capabilities, enabling merchants to collect and analyze anonymized customer data across in-store touchpoints. From personalized product recommendations to contextual promotions and intelligent aisle guidance, the platform uses real-time signals to adapt to each shopper’s journey. The collaboration with 66degrees provides development support and integration expertise to ensure a smooth deployment in diverse retail environments.
Personalization at Scale
Key features include targeted recommendations based on purchase history, shopping goals, and current in-store behavior. By processing data securely in the cloud, the system can suggest relevant products, optimize shelf layouts, and time promotions to maximize relevance without compromising privacy.
Seamless Navigation and Help
In-store navigation helps customers find products quickly, while digital assistants offer guidance on discounts, availability, and alternatives. The platform aims to reduce search friction, shorten decision times, and increase basket size through intelligent wayfinding and proactive assistance.
Benefits for Retailers and Shoppers
For retailers, the platform promises improved conversion rates, better inventory visibility, and deeper customer insights. For shoppers, it offers a more efficient, personalized experience that mirrors the convenience of online shopping while preserving the tangible advantages of physical stores. By combining Honeywell’s reliability with Google Cloud’s scalable AI, the solution supports stores of varying sizes and categories—from grocers to electronics retailers.
Security, Privacy, and Compliance
Respect for customer privacy is central to the platform’s design. Data processing prioritizes anonymization, consent management, and adherence to applicable regulations. The architecture emphasizes secure data pipelines and transparent governance to build trust with shoppers and retailers alike.
Future Outlook
Honeywell’s announcement signals a broader trend toward AI-enabled retail ecosystems that blend physical and digital experiences. As retailers adopt more sophisticated analytics and understanding of shopper behavior, in-store AI technologies are expected to evolve toward even more individualized services, smarter inventory maintenance, and enhanced store operations—while maintaining a strong emphasis on privacy and data security.
