Firms Strengthen Distribution Network Resilience
Retailers and distributors are using AI simulations to maintain service levels during prolonged facility closures.
Updated on Oct. 21, 2026 in Business Strategy
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Supply chain leaders at the ASCM CHAINge conference in Long Beach, California, shared methods for maintaining business continuity during distribution disruptions. Organizations are increasingly using simulations and AI-driven optimization to protect service levels across their networks.
Why it matters
Companies are prioritizing daily operating discipline to ensure service remains uninterrupted during network closures or unforeseen events. This focus on scalability helps firms offset rising costs while ensuring products reach customers regardless of distribution-point status.
Ulta Beauty tested network resilience by simulating distribution center closures of 30, 60, and 90 days. A single facility currently supports 350 stores, highlighting the potential scale of disruption if a site goes offline.
The players
Ulta Beauty
A national beauty retailer that manages large-scale distribution operations for its store network.
Lindsay Corporation
An industrial company that tracks a significant pipeline of cost-reduction initiatives to meet financial targets.
Grainger
A broad-line industrial distributor that focuses on machine learning for complex inventory management.
The details
Companies are using dedicated modeling and optimization teams to map alternative distribution routes before disruptions occur. For instance, Ulta Beauty employs an AI-enabled order management system to reroute fulfillment across its network. Meanwhile, firms like Grainger utilize machine learning for inventory optimization, and transformation offices manage internal project funnels to offset broader supply chain cost pressures.
Timeline
October 2026: The ASCM CHAINge conference was held in Long Beach, California.
Market Landscape
The industry shift toward proactive network modeling aligns with the broader move to stabilize supply chains through AI-enabled forecasting. Firms are moving away from reactive responses to operational outages by integrating simulation tools directly into their daily supply chain management.
Operators should review their own network's single points of failure to determine if a 30-to-90-day closure would render fulfillment impossible. Prioritizing the development of alternative routing data today reduces the cost of emergency pivoting when disruption hits.
The takeaway
Effective continuity planning now relies on the ability to model network stress with granular data rather than general estimates. Audit your fulfillment capacity for each distribution node and assign internal teams to maintain a backlog of efficiency projects that can be activated to offset cost spikes.
Further reading
Explore deeper insights on operational efficiency in Business Strategy.
Source note: This article includes information reported by Scmr.
Live Poll
Do you trust that major retailers are adequately prepared for long-term supply chain disruptions?
