Customer Success
Luxury Packaging Manufacturer
From a Full Day to 30 Minutes: Moving From Legacy Constraints to Continuous Intelligence
See how a global luxury packaging manufacturer replaced legacy planning systems and manual spreadsheets with statistical forecasting, automated SKU supersessions, and exception-based replenishment across its distribution network.
Industry Snapshot
Industry:
Distribution / Wholesale
Vertical:
Premium Retail Packaging
Network:
9–10 Global 3PL Distribution Centers
Supplier Base:
500+ Vendors
Key Outcomes
- Reduced a full-day planning issue to a 30-minute fix
- Replaced an 8-hour planning cycle with near real-time daily processing
- Automated SKU supersessions and shifted order reviews to exception-based workflows
- Established inventory policies by SKU and location
- Improved visibility across global distribution centers
Company Overview
A global luxury packaging manufacturer designs, sources, and distributes premium packaging for leading luxury brands. With more than 500 vendors, a network of 3PL distribution centers, and a highly seasonal product portfolio, the company needed a more efficient way to manage demand, inventory, and replenishment across its operations.
The Challenge
After years of workarounds and temporary fixes, the company’s legacy planning system could no longer support its growing operations.
Planners relied heavily on spreadsheets for forecasting, manually reviewed replenishment orders line by line, and managed new SKU transitions through a fragile process that could disrupt an entire day of planning.
The company needed a better way to:
- Replace manual forecasting and replenishment processes
- Manage seasonal demand and frequent SKU changes
- Optimize inventory across global distribution centers
- Account for supplier constraints and lead times
- Integrate planning with its ongoing ERP migration
The Solution
The manufacturer implemented GAINS Demand Planning, Inventory Optimization, and Replenishment Planning, integrating the platform with its ERP as part of a phased rollout.
With GAINS, the company moved from spreadsheet-based planning to statistical forecasting, automated SKU supersessions, and exception-based order reviews. Planners now focus on decisions requiring attention rather than manually reviewing every order line each week.
Multi-echelon inventory optimization also enables the team to set inventory policies by SKU and location, replacing blanket days-of-supply rules with service-level-based decisions. The platform provides network-wide visibility, recommends inventory transfers between distribution centers, and incorporates supplier constraints into replenishment recommendations.
Download the Full Case Study
Discover how a global luxury packaging manufacturer replaced manual planning processes, automated SKU transitions, and improved visibility across its distribution network, including how a planning issue that previously took a full day was resolved in just 30 minutes.
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