Revenue forecasting and optimization software for commercial teams
Forecast demand, plan revenue and test pricing and promotion decisions on data instead of instinct. We build forecasting tools for consumer packaged goods, retail and distribution businesses that need a dependable annual plan and a live view of how it is tracking.
Forecasting for Pakistan's consumer markets. Seasonality around Ramadan and Eid, wholesale and retail channels with very different margins, and distributor data that arrives in spreadsheets are the starting conditions for most forecasting projects here. We build models and planning tools that handle them, so sales, finance and supply chain plan on one set of numbers.
Capabilities
- Demand forecasting by product, channel and region using statistical and machine learning models with seasonality and promotions
- Revenue planning: annual and rolling plans with scenario comparison and variance tracking
- Pricing and promotion analysis: elasticity, cannibalization and uplift measurement
- Trade spend visibility: where promotional money goes and what it returns
- Alerts and dashboards for sales leaders, finance and supply chain on one set of numbers
- Integrations with ERP, POS, distributor reports and spreadsheets your team already uses
What a forecasting project involves
Data assessment
Sales history, pricing, promotions, stock and external factors. We check granularity and gaps before promising accuracy.
Baseline and model
A transparent baseline first, then models that beat it on held-out periods. Accuracy is reported honestly, by segment.
Planning tool
A web interface where commercial teams adjust assumptions, compare scenarios and lock a plan.
Operate
Monthly re-forecasts, variance analysis and model monitoring, with the ability to explain every number.
Frequently asked questions
How accurate will the forecast be?
It depends on your data and market. We report accuracy on past periods by product group before you rely on the model, and we show a simple baseline alongside so the improvement is measurable.
Do we need a data warehouse first?
Not necessarily. We often start from ERP exports and distributor spreadsheets, build the pipeline as part of the project and formalize a warehouse once the value is proven.
Who in our company uses the tool?
Sales and commercial planners adjust assumptions and lock plans; finance reviews scenarios; supply chain reads the demand signal. Everyone sees the same numbers.
Can it replace our Excel planning model?
Usually it wraps around it: the logic your team trusts is rebuilt in a tested system, with version history, access control and automated data refresh.
Tell us about your project
A 30-minute call is enough to scope most projects. We reply within one business day.