At one of Canada's largest retailers, the packaging function sits at the intersection of Brand, Product Development, and Merchandising: a workflow with enormous cross-functional surface area.
Getting a single SKU's packaging from brief to shelf took 16 weeks, and the retailer pushes roughly 4,000 SKUs through that pipeline every year. Every week of cycle time is revenue sitting in a queue instead of on a shelf. The teams had strong appetite for AI-assisted execution but no map of where agents could actually compress the work.
After a structured on-site discovery, Lazer designed a multi-agent workflow to compress the retailer's packaging cycle, absorbing the coordination-heavy handoffs that previously moved between Brand, Product Development, and Merchandising by hand. The build followed a documented baseline-and-measurement plan agreed with the client's Transformation Office so impact could be measured.
The target workflow compresses the packaging cycle by 10 weeks per SKU. Every SKU that reaches the shelf 10 weeks earlier is direct revenue pulled forward.
Across 4,000 SKUs a year, discovery findings project nearly 7,000 hours of cross-functional working time recovered, with 17.3 net days saved per launch.
A "What-If" co-creation workshop won support across all affected teams and the Transformation Office before a line of code was written, the step most automation projects skip and later regret.
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