Predictive Analytics

High-accuracy time-series models predict sales, revenue, and inventory needs by region, channel, and SKU. Incorporate promotions, seasonality, holidays, and macro signals. Cut stockouts and free working capital.

Identify at-risk customers early with behavioral features, cohorts, and sentiment signals. Trigger win-back offers, outreach, or product nudges. Track uplift with A/B tests and retention dashboards.

Price-elasticity models recommend profitable price points by segment and time. Simulate promos, bundles, and discounts before launch. Integrates with POS/e-commerce for real-time updates.

Detect anomalous behavior across payments, claims, and applications. Ensemble models + rules deliver low false positives with explainability. Support KYC/AML, approvals, and audits.

Use sensor, log, and usage data to predict failures and remaining useful life. Plan maintenance windows, parts, and staffing ahead of time. Reduce downtime and extend asset life.

Quantify channel ROI across paid, owned, and earned media. Forecast the impact of spend shifts and creative changes. Allocate budgets to maximize incremental revenue.

Forecast lead times, delays, and capacity constraints from suppliers to warehouses. Optimize reorder points and safety stock. Scenario plans help navigate disruptions confidently.

Propensity models recommend the right offer, message, or product per user. Combine ML with LLM reasoning for contextual explanations. Measurable lifts in AOV and lifetime value.

Continuously monitor metrics—ops, finance, and security—for spikes, drifts, and breaks. Alert with root-cause hints and automated playbooks. Stay proactive instead of reactive.

Move beyond “what will happen” to “what should we do.” Optimizers and simulators test scenarios, constraints, and SLAs. Generate action plans with clear trade-offs and expected ROI.