Sales & Ops Forecasting

Sales & Ops Forecasting transforms historical data into forward-looking strategic intelligence. By providing a single source of truth for the future, we ensure that every department—from finance to logistics—is aligned and prepared for anticipated demand.

Accurate forecasting is the foundation of efficient capital allocation and resource planning. We replace guesswork with dynamic, statistically robust models that deliver the high-confidence predictions needed to optimize supply chain, manage inventory, and hit revenue targets.

Organizations struggling with outdated, spreadsheet-based forecasting methods, inconsistent revenue projections, or misalignment between sales predictions and operational capacity. Essential for improving cash flow and achieving verifiable ROI.

We integrate validated data streams, deploy advanced predictive models (including machine learning where appropriate), and establish governance for continuous model monitoring and refinement. The scope ensures a unified, transparent, and defensible view of future performance.

This service is structured to establish and integrate a reliable forecasting model quickly. While the initial build-out uses defined phases, model maintenance, data governance, and strategic advisory can transition to flexible, fractional retainer arrangements for sustained accuracy.

A highly technical and collaborative engagement focused on data integrity, model design, and business process integration. This model offers the option of fractional retainer support, tailoring expert access and service levels for ongoing model tuning, accuracy monitoring, and periodic refinement.

• Significantly improves forecasting accuracy and reduces financial risk

• Optimizes inventory and resource allocation for measurable cost savings

• Creates critical alignment between sales projections and operational execution

• Validated Predictive Model and Documentation

• Integrated Forecasting Data Pipeline

• Performance Monitoring and Alerting Framework

• User Training and Forecast Governance Playbook

Pricing scales dynamically based on the project's overall **scope (breadth)** (e.g., number of forecast horizons or operational units modeled) and the **implementation depth** (e.g., complexity of required data science models or integration with planning systems) required to achieve the desired business outcomes.

Pricing reflects the deliverables for the initial, clearly defined scope only. Any subsequent expansion of the forecasting model scope, changes to underlying data integrations, or deviations from the validated performance metrics will require a formal change request and result in a revised quotation.

"Our forecasting accuracy jumped from 65% to 92% after implementing this model. This wasn't just a win for finance; it directly enabled our operations team to cut inventory costs by 15%."