Supply Chain& Logistics
Stockouts, overstock, and missed delivery windows are symptoms of fragmented supply chain data.
We build demand forecasting, inventory optimization, and OTIF tracking on top of your WMS, TMS, and ERP data so supply chain leaders stop firefighting and start planning ahead.
Replace fragmented spreadsheets with a unified view of OTIF, inventory turns, supplier performance, and demand accuracy across the full chain.
The operational reality of supply chain
Stockouts and overstock from monthly forecasts
Demand forecasts run monthly but inventory decisions need to happen daily. By the time the monthly forecast updates, the situation on the ground has already changed.
OTIF drops without visible root cause
On-time in-full performance slips but the root cause is buried across carrier data, warehouse throughput, and order management systems nobody connects.
Inventory carrying costs accumulate silently
Slow-moving SKUs pile up in warehouses, tying up working capital without anyone tracking the cost per SKU or flagging the buildup in time.
Fleet and warehouse utilization invisible
Fleet utilization and warehouse productivity are guesses until the end of quarter analysis. Optimization decisions get made with the wrong numbers.
The KPIs we surface for supply chain firms
How we help supply chain firms
Daily-refresh demand forecasting models
SKU and location-level demand models that update every day. Reduce stockouts and overstock simultaneously with forecasts that actually keep up with the business.
Inventory optimization across SKU and location
Safety stock, reorder points, and ABC analysis for every SKU across every location. Reduce carrying cost while maintaining service levels.
OTIF root cause analytics
Drill into OTIF failures by carrier, route, warehouse, and SKU. Know exactly where on-time performance is breaking down and why.
Fleet and route optimization
Route optimization models that improve delivery performance and reduce cost per mile. Fleet utilization dashboards that show idle time, load factor, and driver performance.
AI agents for procurement and exception handling
AI agents that monitor inventory levels, flag replenishment needs, handle routine procurement decisions, and escalate exceptions for human review.
Some of the systems we connect with
These are some of the platforms we connect. We integrate with almost any system. If you run it, we can likely work with it.
Where this applies
Distributor: daily demand forecasting replaces monthly model
A regional distributor ran a monthly demand forecast in Excel that was outdated by week two. Stockouts occurred 3 to 4 times per month, causing service failures with key accounts.
We built a daily-refresh demand forecasting model using SAP sales history and external signals. Stockouts dropped by 38% in the first quarter. Safety stock levels were reduced by 15%.
3PL: OTIF root cause by carrier and route
A third-party logistics provider had declining OTIF scores but could not identify which carriers, routes, or product categories were driving the problem.
We built an OTIF root cause dashboard connecting TMS, carrier, and order data. The provider identified 3 under-performing carriers and renegotiated SLAs. OTIF improved from 88% to 94% in 60 days.
Manufacturer: inventory optimization across 6 DCs
A manufacturer held inventory across 6 distribution centers with no unified view of stock levels or demand by location. Overstock at one DC coexisted with stockouts at another.
We built a cross-DC inventory optimization model. Inter-DC transfers reduced stockouts by 40% without increasing total inventory investment.
Outcomes you can expect
Related Services
Frequently asked questions
Stop managing supply chain blind.
Book a free call and we will show you what supply chain analytics can deliver in 60 days.