Forecast demand and revenue with confidence.
Predicts sales, footfall and demand at store, category and customer level, explains the drivers and lets you plan inventory, staffing and promotions on evidence.
90%+
forecast accuracy
SKU-level
granularity
scenario
planning
Section 01
The business problem
Forecasts are built in spreadsheets, are wrong at the granularity that matters and don’t explain themselves — so inventory, staffing and promotion decisions are guesses.
Why existing solutions fall short
- Top-down forecasts miss store- and SKU-level reality.
- Models are black boxes teams can’t trust or adjust.
- External signals (season, events, weather) are ignored.
Section 02
How Fundle solves it
The Predictive Sales Agent forecasts demand at the granularity you operate — store, category, SKU, customer — with explainable drivers and scenario planning, so operations plan on evidence.
01
Granular forecasting
Predicts at store, category, SKU and customer level.
02
Driver explanations
Shows what’s driving each forecast, including external factors.
03
Scenario planning
Models the impact of promotions, pricing and events.
04
Ops-ready output
Feeds inventory, staffing and promotion planning.
How it works
From data to outcome — the agentic workflow.
Model
Builds granular demand models from history and signals.
Forecast
Predicts demand and revenue by segment.
Explain
Surfaces the drivers behind each number.
Plan
Feeds decisions on inventory, staffing and promos.
Business impact & ROI
90%+
forecast accuracy
−20%
stockouts & overstock
confident
planning
Integrations
FAQ
Predictive Sales Agent — questions buyers ask.
What granularity is possible?
Down to SKU-by-store and customer level, depending on your data.
Does it use external signals?
Yes — seasonality, local events and other factors are incorporated where available.
Can we run what-if scenarios?
Yes — model promotions, price changes and events before committing.
Get started
See Predictive Sales Agent on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.