Turn your business data into actionable insights, predictive analytics, and AI-powered solutions that drive smarter, faster decisions
Each service is built around a business question, not a tool. We start from what you're trying to decide, then build the pipeline and model backward from that.
We map your end-to-end supply chain — supplier lead times, freight lanes, warehouse throughput — to find where cost and time are leaking. Output includes a supplier risk score and a lane-by-lane cost breakdown.
We reconcile sales and purchase ledgers side by side to expose margin leakage — underpriced SKUs, vendor terms that no longer make sense, and customers who cost more to serve than they generate.
Statistical and machine-learning models trained on your own sales history, adjusted for seasonality, promotions, and stockouts, so purchasing and production stop guessing.
We recalculate safety stock and reorder points against real demand variability instead of static rules, and identify which SKUs are quietly tying up working capital.
Segmentation and cohort analysis across your sales channels to show which customers and channels actually drive profit, versus which drive volume alone.
We connect operational data to the P&L and balance sheet — tracking cash conversion cycle, receivables and payables, and where budget is drifting from plan.
Once the model is proven, we ship it as a self-serve dashboard your team owns — automated refresh, defined metrics, no analyst bottleneck for routine questions.
The same sequence runs under every engagement, whether the scope is one supply chain question or a full analytics function build-out.
We sit with the team who owns the decision and define exactly what "answered" looks like, before touching any data.
ERP, POS, spreadsheets, supplier portals — we pull the source data and reconcile it against known totals before modeling begins.
We build the analysis or forecast, then test it against a holdout period so the numbers are trustworthy before anyone acts on them.
We ship a dashboard or report your team owns outright, with the logic documented so it survives past the engagement.
"They didn't hand us a dashboard. They found a supplier terms mismatch that was worth more than the entire engagement fee in the first month."
Figures are blended averages across recent engagements, not any single client's result — actuals depend on your starting data quality.
reduction in stockouts on analyzed SKUs
avg. margin leakage identified per engagement
from kickoff to first validated model
of dashboards still in active use after 12 months
The methods generalize, but our models are tuned to the operational reality of these sectors.
Demand planning, channel profitability, promo lift analysis.
Supplier scorecards, purchase-to-sale margin reconciliation.
Input cost variance, production yield, inbound logistics.
Shelf-life-aware inventory, seasonal demand, spoilage cost.
Vendor consolidation, purchase price variance, contract compliance.
Lane cost analysis, on-time performance, capacity forecasting.