When disasters strike, the challenges for retailers are immediate and complex. Structural damage to physical stores can lead to temporary closures. Logistics networks are interrupted. Inventory may be stranded in inaccessible warehouses, while demand for essentials like food, water, medical supplies, and emergency goods skyrockets. Without technology in place to anticipate needs and respond in real-time, the result is often chaos: empty shelves in affected areas and overstock in unaffected regions.
Artificial intelligence (AI) and machine learning (ML) forecasting solutions have transformed disaster preparedness and inventory management. By leveraging AI, retail can proactively prepare for disasters, maintain inventory levels, and ensure continuity of services in critical situations. It analyzes and distills large data pools into manageable insights for more accurate demand forecasts and data-driven decisions.
"AI goes beyond reacting to events—it enables retailers to anticipate them. Whether it's forecasting a surge in bottled water sales ahead of a storm or swiftly rerouting medical supplies after an earthquake, AI-driven systems empower businesses to stay one step ahead and respond with precision," said Kristie Davison, SVP of Sales APAC at RELEX Solutions.
The platform from RELEX, a provider of unified supply chain and retail planning solutions, optimizes stock levels and coordinates inventory between warehouses based on real-time data. This ensures that products reach areas where they're most needed, reducing the risk of stockouts or overstock in unaffected regions, resulting in reduced inventory holding costs and spoilage levels while improving service levels for customers. This resilience helps communities recover more swiftly, making AI an essential tool in disaster preparedness and response planning.
According to the RELEX Extreme Weather Consumer report, in the United States, consumers are likely to switch to large-chain retailers for better stock availability. With the change in consumer behavior, supply chain resilience has become key. During the crucial periods, retailers must remain in tune with consumer preferences especially around demand spikes, and supply chain uncertainty, to ensure they are stocking their stores with the right goods at the right time.
"To effectively meet the needs of these proactive consumers, retailers must enhance their readiness and responsiveness," said Kristie Davison, SVP of Sales APAC at RELEX Solutions. "This includes improving demand forecasting and optimizing inventory management to ensure the right products are available at the right time. By leveraging real-time weather data and predictive analytics, retailers can better align their stock with community needs during critical weather events, thus increasing community resilience."