South KoreaRetail and e-commerce2026 – ongoingLotte Mart (Lotte Shopping)
AI demand forecasting and robotic fulfillment at Zeta Smart Center Busan
Lotte Mart opened its Ocado-based AI fulfillment center in Busan in August 2026
Problem
Fresh-food quality and missing items complicated online grocery orders. Lotte Mart sought to improve delivery reliability while reducing spoilage.
Approach
The center began full operation on August 7 using Ocado Smart Platform. Machine learning combined purchasing data with seasonal and weather information to forecast demand and reposition stock. Robots moved storage totes and picked goods, while workers handled items robots could not pick.
Results
Takeaway
Demand forecasts fed into physical stock placement and picking. The stated waste rate remained a target.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Electronic Times reported the center's opening and described its forecasting and robotic fulfillment. It cited Ocado's 0.3–0.4% waste target without reporting an achieved Busan waste rate.
Full details are in the original sources.