BI, forecasting, supply chain and mathematical optimization for enterprise operations — executive dashboards, demand forecasting, network design and constraint-based optimization that doesn't just report the past, but tells you what to do next.
Analysts spend days assembling packs that are stale by the time they land.
Naive averages miss seasonality and demand shifts — inventory and staffing pay the price.
Routing, allocation and network decisions are made by gut, leaving real money on the table.
From self-serve BI to optimization models running in production.
Power BI, Tableau and AI Copilot — 25+ KPIs with D-1 automated reporting and self-serve NLP analytics.
Seasonality-aware ML on sales and inventory — depot-, SKU- and channel-level forecasts that refresh automatically.
Inventory optimization, distribution network design and geospatial routing with scenario simulation.
Gurobi LP / MIP / QP for staffing, allocation, route planning and resource scheduling — provably better decisions.
Churn prediction, order-time estimation and upsell modeling with XGBoost, Random Forest and behavioral segmentation.
Real-time twins and economics models turning complex trade-offs into interactive scenario optimization.
Distribution network optimization — geospatial routing, cost-minimization modeling and scenario simulation across three redesigned tiers.
Read the case study →Weekly depot-level forecasting — ML on sales and inventory with seasonality-aware logic and monthly refresh.
Read the case study →A real-time digital twin simulating capacity, inventory and permits — planning cut from 3–4 days to 3 hours.
Read the case study →A green-hydrogen economics model wrapped into a decision platform — scenario optimization across solar, wind, BESS and electrolyzer sizing.
Read the case study →Churn prediction and upselling using XGBoost + Random Forest, behavioral segmentation and ARPU optimization.
Read the case study →Data-driven Permanent Journey Plans for an FMCG sales force — geolocation analytics, adherence dashboards and field chatbots.
Read the case study →Forecast accuracy
Inventory reduction
Analyst time saved
Automated reporting
Executive BI dashboards, demand forecasting, supply-chain and network design, mathematical optimization with Gurobi (LP/MIP/QP), and predictive and prescriptive ML.
Power BI, Tableau and AI Copilot for BI; Gurobi for optimization; XGBoost, Random Forest and PySpark for ML — delivered on your cloud.
Yes — constraint-based optimization for route planning, inventory, network design, staffing and resource scheduling, with scenario simulation.
Representative outcomes include +25% forecast accuracy, 10–12% inventory reduction, around 30 analyst-hours saved per month and D-1 automated reporting.
Tell us the operation you want to optimize — we'll bring the analysts and OR engineers who've shipped forecasting and optimization at enterprise scale.