The problem it solves

In B2B, revenue lives in repeat accounts — and accounts rarely announce they're leaving. They just stretch: a 30-day reorder cycle becomes 45, then 70. Monthly reports smooth it over, and by the quarter the account shows up as 'lost', they've been buying from someone else for months.

What it does for your business

Scores every account, every night

A churn-risk score built from order cadence, spend trends, product mix shifts, and support activity — updated as orders land.

Flags the gap, not just the account

Shows exactly which products an account stopped reordering and how far past their own cycle they are — so the conversation is specific, not 'just checking in'.

Gives reps a ranked call list

Your team starts each week with the accounts most worth saving, sorted by at-risk revenue — not an alphabetical account list.

Learns your definition of normal

A weekly buyer going quiet for 3 weeks is an emergency; a seasonal buyer doing the same is Tuesday. The model knows the difference because it learned each account's own rhythm.

How it works

A classification model trained on your account order histories — cadence features, AOV trends, category mix, and support signals — validated against accounts that actually churned in held-out periods.

What we need from you

18–24 months of order history and your customer master; support ticket exports optional but helpful. One ERP export starts it.

See Churn & Reorder-Gap Prediction on data like yours

A 30-minute walkthrough on live sample data — including how the model is trained and validated.

Request a Demo