Regal Swiss teamed up with a Vietnamese AI specialist to deploy third-party tools for inventory optimization in medium Asian retail operations, revamping legacy stock systems. We conducted audits of supply data, integrating make.com for automated reordering triggers and OpenAI for forecasting demand based on sales patterns. N8N ensured seamless connections between warehouse software and e-commerce platforms, facilitating just-in-time stocking. Features included alert systems for low stock and integration with regional suppliers for quick replenishment. Hands-on implementation and user training minimized disruptions. This upgrade prevents overstocking and shortages, enhancing profitability. Suited for Asian retailers with outdated systems, our solutions provide accurate predictions, reduce waste, and support omnichannel strategies, empowering businesses to respond swiftly to consumer trends in fast-paced markets.
SDICOM
make.com, OpenAI, N8N, Inventory Management, E-commerce Integration
Inventory management AI enhancement project
Regal Swiss retail technology and inventory optimization team
Forecasting demand in seasonal Asian retail fluctuations
Connecting legacy warehouse systems to modern e-commerce
Automating reorders without excess inventory buildup
Handling supplier integrations across regional borders
Leveraged OpenAI for pattern-based demand forecasting
Configured make.com for trigger-based reordering
Deployed N8N for warehouse-e-commerce data linking
Built alert mechanisms for proactive stock management
Reduced stockouts by 50% with precise predictions
Cut excess inventory costs by 35% efficiently
Improved supplier response times by 40%
Boosted overall retail profitability by 25%