CASE STUDY
How a Manufacturer Used AI to Turn $5M Inventory Loss into $8M ROI
Summary
Company: $70M manufacturer + distributor, 250 staff
Wrong Starting Thought: “We just need a better forecasting tool.”
Why That’s Wrong: If they only added a forecasting tool: it didn’t connect to the company’s main system, so teams still had to work in separate silos and enter information manually, leaving the process inefficient.
WhatIf Approach: Strategy-first rollout. Step-by-step AI deployment → forecasting → automatic reordering → margin dashboards.
Results: $3M saved in 90 days, $8M ROI in one year, 95% order fulfillment, warehouse costs down 20%.
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Company: $70M manufacturer and distributor with 250 staff
Problem: Stockouts and overstocks were wasting millions
Win: $8M ROI and 95% of orders fulfilled on time
Transformation: Shifted from gut-driven chaos to predictable, profitable supply chain management
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Challenges:
Demand planning based on guesswork
Wrong SKUs filling warehouses, top-selling products often out of stock
Hidden costs:
$5M tied up in excess inventory
$2M spent on rush shipping
$1M in lost contracts
If nothing changed: Margins would shrink and growth would plateau
If they only added tools: Forecasting apps didn’t connect to the main system, so teams did duplicate work and the problem persisted. -
$3M ROI in 90 days
$8M ROI in 12 months
95% order fulfillment (up from 70%)
Warehouse costs reduced 20%
WhatIf Solution (1–1–1 Formula)
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Created a strategy roadmap showing an $8M opportunity. ROI calculation: savings from reduced waste plus recovered lost sales, divided by the initial investment.
1
Day
Deployed the forecasting AI. Achieved $3M in savings within 90 days.
1
Quarter
Implemented the full plan in order: (1) Forecasting, (2) Automatic reordering, (3) Margin dashboards. Combined, these improvements generated a total of $8M ROI for the year.
1
Year
CLIENT FEEDBACK
“We finally stopped guessing. AI gave us clarity and profits back.”
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