What sales forecasting is
Sales forecasting is the systematic analysis of past sales data, current market trends and various influencing factors to predict future sales. A dependable forecast underpins decisions across the business — how much to produce or stock, how to staff, what to expect for cash flow, and what targets are realistic.
How ABS approaches it
ABS builds forecasts on evidence: the historical data that genuinely predicts your demand, the market factors that move it, and methods suited to your business rather than a one-size-fits-all model. Where appropriate, this draws on analytical tools such as Python and R. ABS brings a track record of delivering measurable results and cross-industry experience, with approaches that scale from startups to established enterprises — and is clear about the assumptions behind every forecast.
Common applications
- Demand and revenue forecasting for planning
- Inventory and capacity planning
- Target-setting and budgeting
- Identifying seasonal and trend patterns
Sales forecasting is part of the Data Analytics practice and complements Channel Management by anticipating demand across routes to market.
Common questions
What is sales forecasting?
It is the systematic analysis of past sales data, current market trends and other influencing factors to predict future sales, supporting better planning across inventory, staffing, cash flow and targets.
How accurate can a sales forecast be?
No forecast is perfect, but one built on good data and sound method is far more reliable than intuition. ABS focuses on the right historical data and techniques for your business, and is clear about the assumptions behind each forecast.