Know what each distributor will need before they run out.
Forecast distributor demand, recommend when and how much to replenish, and identify sales declines, refill gaps, and growth opportunities.
- Industry
- Oil & gas · LPG and fuel distribution
- Category
- Sales & supply planning
- Buyer
- Head of sales, supply chain, or distribution
- Deployment
- Private cloud or on-premises, connected to sales and inventory systems
Replenishment by habit, and sales declines spotted after they have happened.
Across a large distributor network, replenishment is often planned from experience and fixed schedules. Some distributors run short while others carry too much stock, and both cost money.
Sales teams see declines, refill gaps, and growth opportunities only in month-end reports, too late to act on them that month.
From your data to a decision a person can check.
- 01
Forecast
Forecasting models predict demand per distributor from sales history, seasonality, and local patterns.
- 02
Recommend
The system recommends when and how much to replenish each distributor, balancing stockout risk against holding stock.
- 03
Spot
Sales declines, refill gaps, and growth opportunities are flagged per distributor and territory as they emerge.
- 04
Explain
A language model turns the numbers into plain explanations and next actions for sales and supply teams.
Target outcomes for a first deployment.
Targets based on comparable workflows. Each one is confirmed against your own baseline during the pilot.
- Fewer stockouts
- Better inventory balance
- More targeted sales activity
- Forecasts come from forecasting models, not language models
- Recommendations reviewed by planners before orders change
- Forecast accuracy tracked against actuals
One workflow, measured against your baseline.
One region's distributor network, with forecasts and recommendations run alongside the current plan.
- 01Forecast accuracy against actual demand
- 02Stockouts and excess stock
- 03Sales actions taken on flagged opportunities