This consumer goods brand shifted from reactive selling to a proactive, AI-directed model - surfacing high-value account gaps and ready-to-send outreach for every rep.
This consumer goods brand's new hunter-farmer sales model still had reps working their book of business by hand, with no timely view of the highest-value opportunities and outreach that varied rep to rep. We built a gen-AI recommendation engine that reads each account's total addressable gap and purchase history, scores every play by likelihood to close, and ships it with a rationale and an AI-drafted talk track or email. Reps now open each account with a ranked next-best-product recommendation and ready-to-send outreach.
The manufacturer's new hunter-farmer sales model still leaned on reps manually working their book of business. They lacked timely visibility into the highest-value opportunities, leads weren't distributed by capacity or territory, and outreach relied on individual judgment - making messaging inconsistent and revenue hard to capture at scale.
We built a gen-AI recommendation engine that analyzes each account's total addressable gap and purchase history to surface the biggest opportunities, excluding recently bought or rejected products. A predictive model scores each play by likelihood to close, runtime summaries brief reps before outreach, and every recommendation ships with a rationale and an AI-drafted talk track or email.
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