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Food Tech / Supply Chain SaaS

TopGum: B2B Food Supply-Chain SaaS That Hit Product-Market Fit by Solving Reorder Prediction

Predictive reorder engine reduced churn and tripled ACV

Client: TopGum
TopGum: B2B Food Supply-Chain SaaS That Hit Product-Market Fit by Solving Reorder Prediction

The Challenge

What TopGum Was Facing

TopGum connected food service businesses with wholesale suppliers on a subscription platform. Early retention was weak because buyers logged in reactively — only when they had run out of stock — rather than using the platform as a proactive procurement tool. Without habitual daily usage, the subscription felt optional. Churn was 22% monthly and the sales team was burning CAC on customers who cancelled within 90 days.

The Solution

What We Built

We built a predictive reorder engine that analysed each buyer historical consumption patterns and surfaced reorder recommendations before stock ran out. Push notifications and weekly digest emails brought buyers back into the platform on a predictable cadence. Supplier-side tools — bulk order management, delivery scheduling, and invoice reconciliation — made TopGum the operational centre of the supply relationship, not just a catalogue. The subscription tier structure was redesigned around supplier connection count, aligning price to the scale of the buyer network.

TopGum: B2B Food Supply-Chain SaaS That Hit Product-Market Fit by Solving Reorder Prediction – solution

Results

Measurable Outcomes

Monthly churn dropped from 22% to 6% after the predictive reorder engine launched
Daily active user rate increased from 12% to 49% as the platform became operationally essential
Average contract value tripled as buyers expanded their active supplier connections
Payback period on CAC shortened from 11 months to under 4 months

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TopGum: B2B Food Supply-Chain SaaS That Hit Product-Market Fit by Solving Reorder Prediction | SaaS Development London