Ready to be the next one?
We start every engagement with a clear diagnosis. Tell us what’s broken and we’ll tell you what we’d do about it.

Forecast error was costing the client in lost service, excess inventory, and emergency logistics spend. AI-enhanced demand sensing and signal integration reduced MAPE by 38%, eliminating $50M in annual cost.
A previous vendor had deployed a demand planning AI tool with under 20% adoption after 6 months. We redesigned the change program, rebuilt user training, and redeployed. Adoption hit 91% within 8 weeks.
Service levels had deteriorated following a rapid expansion. We redesigned the supply planning process, implemented AI-based demand disaggregation, and rebuilt supplier KPIs. Fill rate improved from 72% to as high as 95% at individual sites.
Inventory had grown to 140 days of supply across a global network. Using a combination of network design, demand sensing, and supplier integration, we brought it to 82 days, freeing $750M in working capital.
An S&OP process that took 6 weeks of manual effort per cycle was redesigned with AI-assisted demand sensing. The new process runs in under 2 weeks with higher accuracy.
The client was planning a $6M platform replacement. We diagnosed the root problem, determined the existing platform was sound, and redesigned the implementation. 18 months saved, $4M in avoided spend.
COO, Global Distribution Company
We start every engagement with a clear diagnosis. Tell us what’s broken and we’ll tell you what we’d do about it.