The problem
Sales forecasts were built by hand from spreadsheets and past patterns, so accuracy dropped whenever demand or supply shifted. Leadership wanted an AI-driven tool but faced a crowded market and a real risk of buying the wrong one.
Our approach
- Defined what the tool actually needed to do, including accuracy, how it would connect to existing systems, and total cost
- Ran a structured comparison of qualified vendors with clear scoring
- Coordinated demos and reference checks with sales, finance, and IT
Outcome
A clear, defensible choice with leadership on board, and a path from reactive forecasting to data-driven planning.
How this helps you
Most AI purchases go wrong before implementation even starts. We help you compare options honestly so you don't pay for a tool that doesn't fit your data, your team, or your budget.
Delivered by our founder for a Fortune 500 manufacturer.
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