Lost revenue from customers leaving without a warning
Wasted stock from over-ordering perishable items
Stockouts during peak demand, missed sales opportunities
Platform flags customers at risk with weeks in advance, and triggers retention actions
Inventory precisely matched to forecasted demand, waste reduced
Stock always ready for peak demand, loyalty strengthened
The platform helps you predict and identify which customers are more likely to reduce, stop ordering, or considering switching providers; explaining the why. The predictions are based on customer data and purchasing behavioral paths evaluation.
Impact: Act before revenue is lost, by executing targeted actions, such as offers or marketing activations
Combining order history, transactions, and customer patterns, our platform takes over the forecast of your inventory, ensuring an hourly, daily, weekly, and seasonal demand accurate stock level estimation at the SKU level.
Impact: Accurate forecast estimations for demand can reduce waste, prevent stockouts or overstocks and align procurement with current needs.
Through the analysis of customer patterns and behaviors, the platform can predict optimal and personalized product combination proposals, tailored to each customer, with the option of automating outreach.
Impact: Increase average order value, customer loyalty and share of spend of your customers, without investing in incremental sales efforts.
We’re selecting a limited number of leaders in the Food Distribution Industry for strategic partnerships. Backwell Tech will invest up to €100,000 in platform credits to accelerate deployment and value realization.
Guided pilot
On-prem cloud options
Dedicated onboarding + integration support
Scientific-grade predictive algorithms delivering measurable business outcomes — fully explainable to build decision-maker trust.
Low-risk, compliant software designed with transparency and anonymized data handling at its core.
Tailored deployments with tracked, verified results — ensuring the technology fits your infrastructure and objectives.
Reviewed and advised by AI experts from Oxford University, Cambridge University, and Imperial College London to maintain the highest scientific standards.
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