Logistics Analytics for Logistics & Supply Chain
Most logistics operations we review have OTIF measured monthly. By the time you know you're off target, you've already missed 30 days of deliveries and the customer is calling to complain.
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. The shipper sees the TMS. The warehouse sees the WMS. The carrier sees their own system. Nobody sees the end-to-end picture in real time. Most logistics analytics implementations start by answering a question that should already have a live answer: did this shipment arrive on time? OTIF isn't a metric you track monthly. It's a signal you need in real time — by lane, by carrier, by customer.
What we hear from operators
The problems we solve
These aren't hypothetical pain points assembled from industry reports. They're observations from actual plant floors, warehouse ops, and finance desks — written down because they come up in almost every first conversation.
Three systems, no single truth
Route data in the TMS. Proof of delivery in a separate WMS or carrier portal. Cost data in the ERP. Nobody has connected them. So freight cost per delivery unit is calculated quarterly in Excel by someone who has to export three reports, reconcile the columns, and pivot the result. By the time it's done, the quarter it describes is already history.
Carrier performance is managed by relationship, not data
Most logistics teams know which carriers perform well and which don't — by feel. The data to prove it exists in the TMS. But it's not aggregated, not trended, not shown to the carrier in a monthly review. So underperformance is tolerated longer than it should be, and renegotiations happen without leverage.
Last-mile visibility disappears at the handover point
The moment a shipment leaves the DC and goes to a third-party carrier, real-time visibility typically ends. The customer calls the logistics team. The logistics team calls the carrier. The carrier checks the driver. This is 2025, and this process is still how most operations handle last-mile exceptions.
How we work
Our approach
01
Unify the logistics data sources
TMS, WMS, ERP, carrier APIs, and track-and-trace platforms — we connect them into a single unified data layer. The goal is one record per shipment that carries the full lifecycle: order created, picked, loaded, in transit, delivered, invoiced. Every field from every source, reconciled into one model.
02
Build the OTIF and carrier performance dashboard
OTIF by lane, by carrier, by customer, by SKU group — updated daily or in near real time. Freight cost per unit by carrier and lane. Exceptions surfaced automatically: shipments at risk of late delivery, cost outliers by route, carriers trending below SLA. This becomes the single screen the logistics manager starts their day with.
03
Automate exception management and carrier reviews
Once the data is live, we automate the repetitive work: daily exception reports emailed to the right team, carrier scorecards generated monthly without manual effort, customer-facing delivery notifications triggered automatically. The logistics team stops pulling data and starts acting on it.
What changes
Outcomes
These are specific, measurable shifts — not benefit statements. Every outcome listed here has been achieved with a client.
OTIF measurement: monthly retrospective → daily live tracking by lane
Logistics managers see OTIF performance as it unfolds, not after the month closes. Exceptions are caught within 24 hours of a delivery window being missed.
Freight cost reporting: quarterly Excel exercise → automated monthly dashboard
Cost per delivery unit, cost by carrier, cost by lane — available without manual extraction. Freight spend vs budget tracked against actuals in real time.
Carrier reviews: relationship-based → data-driven scorecards
Monthly carrier scorecards generated automatically. On-time rate, damage rate, cost vs contracted rate — per carrier, per lane, per customer tier. Renegotiations backed by 12 months of data.
Technology stack
Common questions
What buyers ask us
These are questions that come up in almost every first or second conversation. If yours isn't here, it will be in the first call.
Our carriers don't have APIs. Can we still get real-time visibility?
Most carriers have some form of track-and-trace portal, even if they don't have a public API. In cases where there's no direct integration available, we work with carrier-provided data files, EDI feeds, or third-party visibility platforms that aggregate carrier data. It's rarely a binary situation.
We have a TMS already. Shouldn't that handle this?
TMS systems are designed to manage the logistics execution process — booking, routing, documentation. Most aren't built for cross-source analytics. The data sits in the TMS, but connecting it to the ERP for cost reconciliation, to the WMS for order fulfilment, and surfacing it in a management dashboard is a separate layer. The TMS doesn't replace that.
How do we handle multiple carriers with different data formats?
This is the integration layer we build. Every carrier sends data differently — some via EDI 214, some via portal exports, some via email with a PDF. We standardise it into a common shipment model so that the analytics layer sees one consistent format regardless of carrier. It's plumbing work, but it's the work that makes everything else possible.
Can you help us reduce our freight costs, not just measure them?
Measurement is step one, and it's where most analytics projects stop. Once you have clean freight data, we help identify the lanes where you're paying above market, the carriers where the cost/performance ratio is poor, and the order patterns that create expensive last-minute shipments. The recommendations come from the data, not from industry benchmarks that may not match your network.
Ready to move
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. No obligation.