Demand & sales forecasting
SKU, branch and region-level forecasts that account for seasonality, festivals and promotions.
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Forecasting & Decision Intelligence
Your historical data already contains signals about what happens next. We turn it into forecasts, risk scores and recommendations that feed straight into daily decisions, from stock planning and pricing to credit checks and retention offers.
What this covers
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
Who it is for
We deliver predictions where decisions are made: inside your ERP, CRM, app or a simple dashboard. Models are explainable, so managers understand why a customer is at risk or why stock should be reordered, and every prediction is tracked against the actual outcome.
Discuss your requirementRetail and distribution businesses planning inventory
Subscription and SaaS businesses fighting churn
E-commerce platforms wanting better product recommendations
Lenders, fintechs and marketplaces facing fraud and credit risk
Capabilities
SKU, branch and region-level forecasts that account for seasonality, festivals and promotions.
Early warnings for customers likely to leave, with the reasons and suggested actions.
Personalised product, content and cross-sell recommendations for apps, sites and sales teams.
Real-time scoring of transactions, accounts and claims for anomalies and known fraud patterns.
Rules and model scores combined into automated approve, review or reject decisions with audit trails.
Predictions with their drivers and confidence shown in Power BI or custom dashboards.
How we work
You always know what happens next, who is responsible and what you will receive at each stage.
Typical timeline
Proof of concept in 3–4 weeks; production rollout typically 6–12 weeks.
We identify the decision, its owner and the value of better predictions.
Historical data is cleaned, joined and enriched.
Forecasting or scoring models are trained and back-tested.
Predictions are delivered into dashboards, apps or APIs.
Accuracy and business impact are monitored and improved.
Deliverables
Technology & standards
We recommend tools based on your scale, budget and existing systems, not on what is fashionable. Every choice is explained in the proposal.
Engagement models
A 3–4 week pilot on your own data with agreed accuracy targets, so you see real results before scaling.
Hardened integration, guardrails, monitoring and admin controls, delivered in milestones with a fixed quote.
Ongoing prompt and model tuning, evaluation runs, cost monitoring and feature additions on a monthly plan.
How pricing works: AI projects are priced in two stages: a fixed-price proof of concept, then a production quote based on what the pilot proves. Model and API usage costs are estimated upfront and billed at actuals.
Get a quoteFAQs
Accuracy depends on data history and volatility. We back-test models on past periods, share the error you can expect and compare it with your current method, so you decide based on evidence.
Not necessarily. We can start from ERP, POS or CRM exports and build a lean pipeline, then recommend a warehouse if scale requires it.
Yes. Scoring can run within milliseconds through an API during checkout, onboarding or claims, with suspicious cases routed for manual review.
We make models explainable, showing the main factors behind each prediction, and track predicted versus actual results openly, which builds trust quickly.
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Reply within one business day
Share a few details. A senior specialist reviews them and schedules a call to discuss scope, timeline and cost, with no obligation.
Receive preliminary project architecture, pricing tiers, and timeline estimates within 15 minutes under strict NDA.