Retail demand
Forecast product movement by shop, category and trading period. Adjust the model when promotions or local events change expected demand.
SKU-levelPredictive analytics UK
See what's coming before it happens.
Uncertainty is expensive. Keen Quant Ltd builds AI forecasting software that helps UK organisations plan cash, stock, sales, maintenance and capacity with clearer evidence.
The next decision gets easier.
Operational outlook
Recorded
Projected
Cash12 weeks
DemandSeasonal
ConfidenceExplained
Cash-flow forecasting tools
Keep tomorrow's cash position in view.
Keen Quant Ltd connects historical transactions with upcoming invoices, payroll and regular obligations. The result is a working cash-flow projection that can be reviewed as conditions change.
See pressure early.
- Scenario models for quieter trading, delayed payments or new contracts.
- Early warning alerts when projected balances approach agreed thresholds.
- Accounting-system feeds that keep the forecast tied to current figures.
13-week cash view
Expected balance range
Current position
Projected range
Sales and demand forecasting
Plan stock and people around demand.
Historical sales, seasonal patterns and planned campaigns can sit in one forecast. Teams get a clearer basis for purchasing, staffing and commercial decisions.
Better planning starts here.
Wholesale volume
Use order history and lead-time patterns to guide replenishment. Your team sees where demand may rise before a large order lands.
Lead-time awareService capacity
Compare expected bookings with available staff and delivery slots. Track forecast accuracy over time and refine the assumptions.
Capacity-ledRevenue forecasting
Make property decisions with a fuller view.
Property and lettings businesses can forecast occupancy and revenue by location, property type and client segment. Seasonal adjustments show how market cycles affect expected income.
Every property tells a pattern.
Occupancy
Portfolio-level view
Revenue
Segment projections
Portfolio occupancy example
Lower occupancy
Higher occupancy
Use the pattern to guide pricing, investment and portfolio attention.
Predictive maintenance
Spot equipment risk before downtime.
Machine learning models can read sensor readings, operating hours and service records to identify signs that a machine may need attention.
Schedule work with evidence.
- Prioritise maintenance by predicted risk and operational impact.
- Plan parts and engineers around likely service windows.
- Support manufacturers, logistics operators and property managers.
Asset condition timeline
Recommended attention points
Sensor pattern detected
Pressure variance has moved outside the usual operating range.
Service window suggested
The model flags a suitable slot before the next production peak.
Work order reviewed
Your team decides the action with the key forecast drivers visible.
Inventory optimisation
Reduce waste without accepting empty shelves.
Demand-driven recommendations help set stock levels, reorder points and safety buffers around actual lead times and demand variation.
Stock has a cost.
Reorder points
Calculate when to place an order using supplier lead times, recent movement and expected demand.
SignalOrder window
Excess stock
Find slow-moving lines before storage costs grow. Separate a temporary dip from a lasting change in demand.
SignalAged inventory
Service levels
Balance availability with working capital using sector-specific models for retailers, wholesalers and manufacturers.
SignalStock cover
AI forecasting software for UK organisations
Turn historical data into future advantage.
Tell Keen Quant Ltd where uncertainty is slowing a decision. We can discuss cash-flow forecasting, sales demand, revenue modelling, predictive maintenance or inventory optimisation from our base in Bray, Windsor and Maidenhead.