Transitioning to AI-powered shelf management can be done gradually, starting with mobile data capture on existing devices and scaling up to include fixed cameras and autonomous robots for continuous monitoring. This hybrid data capture approach allows retailers to improve shelf visibility and operational efficiency without significant upfront investment. By adopting these technologies, grocers can automate shelf management, reduce inefficiencies, and enhance customer experiences, ultimately unlocking revenue potential and ensuring long-term profitability.
Key takeaways:
- Retailers lose $1.7 trillion annually due to inventory distortion, with 67.5% from out-of-stocks and 32.5% from overstocks.
- AI-powered shelf intelligence provides real-time insights, enabling faster restocking and reducing out-of-stock scenarios.
- A hybrid data capture approach using mobile devices, fixed cameras, and robots can improve inventory accuracy and operational efficiency.
- Adopting AI-powered solutions can unlock revenue potential, improve fulfillment accuracy, and ensure long-term profitability for retailers.