Supply Chain Analytics
Most supply chain analytics projects stop at the warehouse. The dashboard shows inventory levels and inbound shipments. It doesn't show the demand signal that's driving the replenishment, or the supplier performance that's constraining it. Visibility stops where the data connection ends.
What we hear from operators
The problems we solve
Inventory decisions are made without demand context
Warehouse teams see stock levels. They don't see the demand forecast that should be driving replenishment decisions. Safety stock is set by gut feel or by a rule of thumb that predates the last market shift. The result is overstock on slow-moving SKUs and stockouts on fast movers — simultaneously, in the same warehouse.
Supplier performance isn't tracked until after the impact is felt
When a supplier delivers late, the first signal is often a production line that's about to stop or a customer order that's about to be short-shipped. The delivery performance data exists in the purchase order system. It's not aggregated, not trended, not used in supplier reviews. By the time the pattern is visible, it's already caused operational damage.
Days inventory outstanding is a finance KPI, not an operational one
DIO is reported to the CFO monthly. It isn't connected to the SKU-level decisions that drive it. The finance number goes up; operations gets an email. Nobody can trace which SKUs, which locations, which supplier constraints drove the increase. The metric is tracked but not managed.
By market
Supply Chain Analytics — market-specific pages
Each page below covers what supply chain analytics looks like specifically in that market — the local ERP landscape, compliance context, and the operational patterns we actually see there.
Singapore & Malaysia
United Kingdom
North America
By industry
Supply Chain Analytics — industry-specific pages
How supply chain analytics applies to the specific systems, metrics, and operational challenges of each vertical.
FMCG & Retail
FMCG and retail data problems concentrate at two points: the demand signal and the shelf.
Explore →
Logistics & Supply Chain
Logistics operations in the GCC, India, and Southeast Asia share a common data challenge: high transactional volume, multi-party execution (3PL, 4PL, last-mile carriers), and a fragmented visibility picture.
Explore →
Technology stack
Start with a conversation, not a proposal
First call is 45 minutes. No deck. We ask about your systems, your team, and your most pressing operational problem. You get a clear view of where the gap is and what closing it looks like.