End-to-end supply chain intelligence : from warehouse to last mile, in real time
We unify your WMS, TMS, and carrier data into one supply chain analytics platform - delivering predictive analytics, real-time OTIF visibility, and logistics digital transformation. Your team stops chasing shipment updates and starts managing the network with live data.
WMS · TMS · ERP
Systems we connect
Live Shipment Tracking
Not end-of-day reports
Trusted by operations teams at
Logistics and supply chain operators across India, the GCC, Singapore, the UK and North America run service and cost reporting we built — from food distribution and 3PL networks to airport and agri-commodity supply chains.
50+
Clients
150+
Projects delivered
14+
Years in industrial data
6 weeks
To first working output
Who this is for
Built for the people who run the supply chain
Supply chain analytics only earns its keep when it answers the question the person running the network is actually asking. Here is what we build for each role — and what it moves.
Supply Chain Director
The problem
OTIF and fill rate live in different systems — the WMS says one thing, the carrier portal another, the ERP a third. You assemble the true number by hand, days after the week it describes.
What we build
One governed supply-chain control view — OTIF, fill rate, days of cover and cost-to-serve — modelled on Microsoft Fabric over your ERP, WMS and TMS, so the number reads the same wherever it is opened.
Typical: one agreed set of service and cost numbers, refreshed daily
Logistics / Distribution Head
The problem
Exceptions reach you after the customer has already chased — a late load, a short delivery, a missed slot. You are managing by phone call and inbox, not by exception.
What we build
Exception alerts on the Fabric model that fire the moment a shipment drifts from plan, routed to the person who can act — so the problem is worked before the customer picks up the phone.
Typical: exceptions surfaced before the customer calls, not after
Demand / Supply Planner
The problem
Forecasts miss because the history sits in spreadsheets and the signal moves faster than the monthly cycle. You are reordering to a number you already know is stale.
What we build
Demand forecasting on the same governed data — per SKU and location, with reorder point, cover and safety stock derived from live sales and stock in Power BI, not last quarter’s guess.
Typical: +15–25% forecast accuracy; Hollandia saw 20–40% fewer stockouts where the baseline was honest
Customer Service / Fulfilment Lead
The problem
When a customer asks where their order is, you open four systems to piece together one answer — and the delivery date you promised was never grounded in what the network could actually hold.
What we build
A single order-to-delivery view — status, ETA and fill against every line — so your team answers in seconds and commits to dates the network can genuinely meet.
Typical: one order status view instead of four systems
COO
The problem
Cost-to-serve is unknown until finance closes the month. You cannot see which customer, lane or channel is quietly eroding margin while there is still time to act on it.
What we build
Cost-to-serve modelled by customer, lane and channel — freight, handling, returns and claims tied back to margin on the Microsoft Fabric platform, refreshed daily rather than reconstructed quarterly.
Typical: margin leaks by customer and lane surfaced weeks earlier
The Problem
Where logistics and supply chain operations lose control
The same patterns appear regardless of whether you are running a 3PL, a distribution network, or an in-house logistics operation. The data exists - it just does not connect.
Shipment visibility gaps across the network
Carriers, 3PLs, and internal fleet each report in different systems with different lag times. Operations teams are chasing status updates by email and phone instead of seeing the whole picture in one place.
Carrier performance managed by gut feel
OTIF, damage rates, dwell times, and cost-per-lane data exist somewhere in the TMS - but nobody has built the view that lets you compare carriers objectively and renegotiate from a position of data.
Manual reconciliation consuming operations bandwidth
Finance and operations spend days each month reconciling freight invoices against TMS records, WMS receipts, and carrier PODs. The process is manual, error-prone, and adds no value.
Warehouse performance invisible until the shift ends
Pick rates, dock-to-stock times, and labour productivity are reported at end-of-shift or end-of-day. Supervisors have no levers to pull mid-shift when throughput starts to fall behind target.
How We Help
What a logistics & supply chain engagement delivers
We build the foundation first - connecting every data source across your network - then layer intelligence and automation on top of it. The sequence matters.
Unified Supply Chain Data Platform
We connect WMS, TMS, ERP, carrier portals, and customs systems into a single governed Microsoft Fabric lakehouse. One view of order-to-delivery across every node in your network.
Shipment Visibility & OTIF Analytics
Live dashboards tracking every shipment from origin to destination - with OTIF performance by carrier, lane, customer, and SKU. Exceptions surfaced automatically so your team responds before the customer complains.
Cost-to-Serve & Carrier Analytics
Full cost-to-serve by customer, channel, and lane - including freight, handling, returns, and claims. Carrier scorecards built from your actual data, updated automatically, ready for the next rate negotiation.
Freight Reconciliation & Exception Automation
Freight invoices matched against TMS records automatically. Discrepancies flagged for human review. POD matching, detention billing, and carrier claims handled by the system - not by email chains.
Live Demo
What a unified logistics & supply chain report actually looks like
Three report pages — delivery and service performance, fleet and warehouse operations, and inventory, cost-to-serve and finance — across DIFOT, on-time delivery, fleet utilisation, cost per drop, inventory turns and contribution margin. Change the region, lane, mode or period and the variance visuals, smart narrative and predictive alerts recompute. Built on Microsoft Fabric, Power BI and Azure Data Factory.
Figures are illustrative sample data. Book a 30-minute diagnostic to see this run on your own TMS, WMS and ERP data — no slides, no pitch deck.
Free Tool
The reorder decisions still run on a spreadsheet. Put numbers behind them.
Export your sales and stock history and this tool builds a per-SKU demand forecast, then derives reorder point, economic order quantity, safety stock and days of cover. It flags dead stock and per-location imbalances that tie up working capital. Runs entirely in your browser — your data never leaves your machine.
Your supply chain has the data. The problem is nobody can see all of it at once.
Explore role-specific analytics - what Supply Chain Directors, Logistics Managers, Warehouse Managers, Procurement Leads and CFOs need from your end-to-end supply chain data. See exactly what MDI builds for each stakeholder, from control tower visibility to carrier performance analytics.
Outcomes
What logistics and supply chain teams achieve
Ranges from real engagements. Exact outcomes depend on your current baseline and which part of the network we address first.
15–25%
Reduction in logistics costs
through carrier optimisation and cost-to-serve visibility
98%+
Shipment visibility
versus industry average of under 70% for multi-carrier operations
40%
Reduction in manual reconciliation time
via automated freight invoice matching and exception routing
Track Record
Logistics & supply chain organisations we have worked with
Bidfood Middle East
Food Distribution
Melbourne Airport
Aviation / Logistics
ADM
Agri-commodities / Supply Chain
Entire Travel Group
Travel & Logistics
OHG
Hospitality Supply Chain
Client names shown with permission. Some engagements kept confidential on request.
Why MyData Insights
Why logistics and supply chain teams choose us
Supply-chain-first, not a generalist
We work across distribution, 3PL and in-house logistics. OTIF, DIFOT, fill rate, cost-to-serve, WMS and TMS are our default vocabulary, not terms we pick up on your time.
Microsoft Fabric specialists
We build the supply-chain data layer on Microsoft Fabric, OneLake and Power BI with Direct Lake — one governed foundation, not another dashboard bolted onto the last.
Logistics data engineering
Carrier APIs and EDI feeds, ERP extraction from SAP S/4HANA, WMS and TMS records — connected read-only into one modelled lakehouse through Azure Data Factory.
Forecasting that holds
Demand forecasting only works when the sales and stock history underneath is live and trustworthy. We fix the foundation first, then the forecast has something real to run on.
First working output in 6 weeks
You get a working control-tower or OTIF view in the first six weeks — Discover, Prototype, Deploy — production in around eight, not an 18-month programme.
Directly accountable
The person who scopes the work builds it. No hand-off to a junior team, no sales-engineering pyramid — Amit stays accountable through delivery.
FAQ
Questions logistics and supply chain teams ask us
The practical questions that come up before we start — on control towers, OTIF, carrier and 3PL feeds and the return on the work.
What does a supply chain control tower actually do?
A supply chain control tower is a centralised dashboard that gives you real-time visibility across your entire supply chain - from purchase orders and supplier confirmations through to shipment tracking, customs clearance, and last-mile delivery. It replaces email threads and spreadsheets with a single live view, and triggers automated alerts when shipments deviate from plan.
How do you improve OTIF (On-Time In-Full) performance using data?
OTIF improvement starts with measurement - most logistics teams do not have accurate OTIF data because it lives across multiple carrier portals, WMS systems, and customer delivery records. We unify these sources, calculate true OTIF at carrier and lane level, identify the root causes of failure, and build early-warning triggers so teams can intervene before a delivery misses.
Can you integrate multiple carrier and 3PL data feeds into one view?
Yes. We regularly integrate 5–15 carrier APIs, EDI feeds, and 3PL portals into a unified Microsoft Fabric data layer. The result is a single shipment visibility view - updated in real-time - regardless of which carrier or 3PL is handling each leg of the journey.
What is the typical ROI on logistics analytics investments?
The clearest ROI drivers are: (1) freight cost reduction through carrier performance analytics and lane optimisation - typically 5–12%; (2) detention and demurrage cost reduction through proactive container tracking - typically 20–35%; and (3) customer service improvement through OTIF visibility - which protects revenue and reduces claims.
Free assessment
Free Supply Chain Intelligence Assessment
A focused review of where your supply chain data stands today and what we would build first. 30 minutes, no slides, no obligation to proceed — you leave with a concrete first step whether or not we work together.
What you get
- A review of your current OTIF, fill-rate and cost-to-serve reporting — and where each number actually comes from
- A KPI maturity check across service, inventory, cost and forecast
- Specific control-tower and data-model recommendations for your network
- A read on your ERP, WMS and TMS integration readiness
- A Microsoft Fabric roadmap scoped to first working output in 6 weeks
Start with a free supply chain diagnostic
30 minutes. We map your data landscape across carriers, warehouses, and systems - identify where visibility is breaking down - and tell you what to fix first.