Collect accurate data from your systems (CRM, ERP, HRIS, ATS…) in real time to avoid time-consuming tasks and data import errors.
Run your best case, baseline and other scenarios, and easily generate variance analyses.
Understand what makes up your sales pipeline, and build accurate forecasts.
Sales forecasting is the process of predicting future sales based on historical data, market analysis, and sales trends. It is crucial for RevOps because accurate sales projections enable businesses to allocate resources effectively, set realistic revenue targets, and make data-driven decisions. A precise revenue forecast is key to optimizing sales strategies and achieving overall business growth.To learn more about the broader context of optimizing sales outcomes, check out our blog on Sales Performance Management.
Pigment offers scenario planning to test sales strategies, real-time collaboration between RevOps, Sales Ops and finance, drill-down into the pipeline, customizable dashboards and machine learning Predictions. The Analyst Agent tracks the forecast against actuals and explains variances, and the Modeler Agent adapts the model when your sales process changes.
Pigment connects to the systems your sales planning depends on, such as CRM systems, ERP software and financial databases, through native connectors, APIs and scheduled imports. Forecasts always use the latest information, and teams spend less time gathering data and more time on planning and execution. The Pigment MCP Server also gives external AI tools such as Claude, ChatGPT and Cursor secured, governed access to your Pigment data, models and agents, so teams can query the live forecast from tools they already use, with access rights applied. See the integrations page for the full connector list.
Yes. Pigment adapts to your forecasting method, whether you forecast by pipeline stage, product, region or deal type. The Modeler Agent builds or extends models from a plain-language request, with a plan you approve first, and Frames lets you describe custom views on the live model. Your forecasting process stays aligned with your goals as they change.
Pigment is ISO 27001 certified and SOC 1 and SOC 2 Type 2 certified. Granular access rights control what each user or group can see and change, down to the cell, and AI agents work within those rights. Pigment never uses your data to train external AI models. See the security page for the full list of controls and certifications.
Predictions adds machine learning forecasts from your live data, which teams can adjust. The Analyst Agent monitors the forecast against actuals, flags anomalies in pipeline coverage or bookings and sends recurring reports. The Modeler Agent updates the model as your sales process changes. Human judgment stays in charge of the final call.
Compare forecast with actual results over the same period, using a measure such as mean absolute percentage error (MAPE) at different horizons, for example 1, 3 and 6 months. Also track how often the forecast changes mid-cycle. Pigment keeps forecast, actuals and variance analysis in one model, so you can see where accuracy slips by region, segment or deal type.
Most teams refresh it at least monthly, and weekly or in-quarter for fast-moving pipelines. The right cadence depends on how quickly your deals and market change. Pigment makes frequent re-forecasting practical because data imports are automated and scenarios update in a few clicks. Siemens, for example, forecasts ten times a year.
Yes. Describe your forecasting approach, for instance by pipeline stage, product or region, and the AI agent builds a model and interactive board in your private workspace. Upload your own sales data or use a sample dataset, change assumptions and run scenarios. The 14-day free trial needs no credit card, and usage limits apply.
Pigment is built to be flexible, with more use cases than we can list here. Sign up for a demo with our team to explore what you could achieve.
