About the Client
A leading multinational corporation that specializes in the production and distribution of a diverse range of consumer food products. With a global footprint spanning multiple continents, they operate state-of-the-art warehouse and retail facilities equipped with the latest automation and robotics technologies.
The Challenge
- Prioritization Complexity: The process lacked a dynamic prioritization system for incoming shipments. Factors like POs, labor schedules, capacity, demand, promotions, and allocations were not fully integrated leading to manual intervention.
- Limited Data Integration: Existing reports relied on static filters and did not capture the real-time dynamics of warehouse operations. Lack of comprehensive data integration hindered informed decision-making regarding prioritization and resource allocation.
- Capacity Constraints: Incoming shipments often exceeded available warehouse capacity, creating bottlenecks and delays. The system did not provide clear visibility into workload and capacity limitations and affected resource management.
- Manual Workarounds: The reliance on manual filtering and prioritization in reports created potential inconsistencies. This caused delays, inaccuracies, and difficulty in monitoring the overall process effectively.
