Logistics & Supply Chain Data Analytics
Turn supply chain complexity into competitive advantage
We build the data infrastructure that gives logistics companies, 3PLs, and supply chain organisations complete visibility: freight costs, carrier performance, inventory health, demand accuracy, and end-to-end delivery performance, all from a single source of truth.
Contact UsLogistics & Supply Chain Analytics Services
Freight Cost Analytics
Consolidate freight invoices, carrier contracts, and shipment data into a single view. Analyse cost per unit shipped, lane-level profitability, accessorial charges, and rate variance against contracted benchmarks to identify savings opportunities.
Carrier and Supplier Performance Dashboards
Track on-time delivery, damage rates, claim resolution times, and service level compliance across your carrier and supplier base. Scorecards that drive better procurement decisions and contract negotiations.
Demand Forecasting and Planning
Predict demand at the SKU, warehouse, and regional level by combining historical sales, seasonality, promotional calendars, and external signals. Reduce stockouts and excess inventory while improving service levels.
Inventory Optimisation
Safety stock modelling, reorder point calculation, ABC/XYZ classification, and inventory aging analysis. Balance service levels against carrying costs with data-driven inventory policies across multi-warehouse networks. Read our deep-dive on MOQ, safety stock, and consignment analytics.
Read more →Warehouse Operations Analytics
Pick rate analysis, put-away efficiency, slot utilisation, labour productivity by shift, and order cycle time tracking. Turn WMS data into operational insights that improve throughput and reduce errors.
SIOP and Demand-Supply Balancing
Build the analytics layer that supports your Sales, Inventory & Operations Planning process. Demand forecast accuracy tracking, production plan adherence, inventory projection dashboards, and gap analysis for the monthly SIOP review cycle.
Supply Chain Data Warehouse
A centralised data platform that consolidates TMS, WMS, ERP, procurement, and carrier data into a governed, single source of truth. Clean ETL pipelines, consistent definitions, and a foundation for every dashboard and model you need.
Route and Network Optimisation
Analyse delivery routes, hub-and-spoke networks, and last-mile operations using geospatial and historical shipment data. Identify consolidation opportunities, reduce empty miles, and optimise distribution centre placement.
Order-to-Delivery Performance Tracking
End-to-end visibility from order placement through warehouse processing to final delivery. Track OTIF (On-Time In-Full), order cycle times, backorder rates, and customer delivery experience metrics.
Logistics & Supply Chain Case Studies
Explore real projects where we delivered measurable outcomes in this industry.
Showing 1 case study
TESTIMONIALS
Working with Witanalytica has been a consistently positive experience. They are responsive, professional, and approach every revision with patience and precision. What sets them apart is a strong understanding of supply chain management, inventory planning, and sales operations, which makes collaboration efficient and ensures deliverables align with real business needs. They have also worked effectively across multiple departments in our organization and manage a 6-7 hour time zone difference seamlessly. I would confidently recommend them to any organization seeking a skilled and dependable analytics partner.
Rubin Chen
Supply Chain VP, The Ubique Group
Your Goals, Our Expertise
We start from your strategic objectives and work our way back to the right mix of solutions and technologies, not the other way round.
Book a Consulting CallOur Approach to Supply Chain Analytics
We map your supply chain from end to end: inbound, warehousing, outbound, and returns. We identify the data-driven levers that will have the greatest impact on cost, service, and working capital.
We connect your TMS, WMS, ERP, procurement systems, and carrier data into a single warehouse. Consistent definitions across systems, one version of the truth for every KPI.
We deliver dashboards and models tuned to how your teams actually make decisions: carrier selection, inventory replenishment, demand planning, and executive supply chain reviews.
We automate reporting pipelines, add anomaly alerting, and introduce advanced analytics: demand forecasting models, inventory optimisation algorithms, and network simulation capabilities.
We map your supply chain from end to end: inbound, warehousing, outbound, and returns. We identify the data-driven levers that will have the greatest impact on cost, service, and working capital.
When Do You Need Supply Chain Analytics?
- Freight costs are rising but you cannot pinpoint which lanes, carriers, or accessorial charges are driving the increase.
- Inventory is either too high (tying up working capital) or too low (causing stockouts and missed orders).
- Your SIOP process runs on spreadsheets and the demand forecast is rarely accurate enough to trust.
- Carrier performance data lives in the TMS but never reaches the people making procurement and contract decisions.
- Warehouse productivity varies by shift but you lack the data to understand why or hold teams accountable.
- You operate multiple warehouses or distribution centres and cannot compare performance across sites.
Why Choose Witanalytica for Supply Chain Analytics?
Supply Chain Domain Expertise
Experience working with 3PLs, distributors, freight networks, and the supply chain functions of manufacturing companies. We understand OTIF, inventory turns, and SIOP because we have lived inside these operations.
Full-Stack Data Capability
From raw TMS and WMS data extraction through warehouse design, ETL pipelines, and BI dashboards to predictive forecasting models. We handle the entire analytics stack.
Platform Agnostic
SAP TM, Oracle TMS, Blue Yonder, Manhattan WMS, Descartes, custom ERPs, and spreadsheet-heavy operations. We integrate data from any combination of supply chain systems.
Cost Reduction Focus
Every analytics initiative targets measurable outcomes: freight cost reduction, inventory carrying cost optimisation, warehouse labour productivity improvement, and service level gains.
SIOP Process Support
We build the analytics infrastructure that makes your SIOP process data-driven: demand forecast accuracy, plan adherence, inventory projections, and financial reconciliation dashboards.
Flexible Engagement Models
Whether you need a one-time data warehouse build, ongoing analytics support, or a dedicated data team embedded in your supply chain operations, we adapt to your needs.
Our Supply Chain Analytics Pricing Models
Transparent pricing built for long-term partnerships, not one-off transactions.
On-Demand Expertise
All tasks are tracked, and the corresponding invoice of the delivered services is billed monthly.
| Activity | Hourly Rate |
|---|---|
| Data Engineering & Database Administration | $110 |
| Business Intelligence Reporting | $90 |
| Data Science | $120 |
Reserved Capacity Agreement
- Pre-purchase a package of monthly working hours that guarantees reserved capacity and priority availability, regardless of our workload.
- Because this capacity is exclusively allocated to you, unused hours do not carry over to the following month.
| Hours Package | Price |
|---|---|
| Every 50 hours | $4,500 10% savings |
Alternatively, we also offer project-based pricing
For well-defined engagements, we scope the full project upfront and agree on a fixed fee, so you know exactly what to expect.
Logistics & Supply Chain Analytics FAQs
We work with third-party logistics providers (3PLs), freight brokers, distributors, e-commerce fulfilment operations, and the supply chain and logistics divisions of manufacturing and retail companies.
Yes. We build integrations with SAP TM, Oracle TMS, Blue Yonder, Manhattan WMS, Descartes, HighJump, and custom systems. We consolidate all sources into a central data warehouse for unified analytics.
Our manufacturing page covers supply chain as one function inside a factory: inbound materials, internal warehouse operations, and outbound shipping. This page is for companies whose entire business is logistics and supply chain: 3PLs, distributors, freight networks, and organisations where supply chain performance is the core product, not a supporting function.
SIOP (Sales, Inventory & Operations Planning) is a monthly cross-functional process that reconciles demand forecasts with supply capacity, inventory policy, and financial targets. We build dashboards that track forecast accuracy, plan adherence, inventory projections, and financial gaps, giving your SIOP meetings data-driven inputs instead of manual spreadsheets.
Yes. We build forecasting models that combine historical demand, seasonality, promotional effects, and external signals. Models operate at the SKU, warehouse, and regional level with accuracy tracking built into the dashboard layer.
We primarily work with Power BI, Tableau, and Looker. For real-time warehouse operations displays, we also use Grafana. Tool selection depends on your existing infrastructure and team capabilities.
Shipment and freight data (TMS exports, carrier invoices)
Warehouse operations data (WMS exports, inventory snapshots)
Order data from your ERP or OMS
Carrier contracts and rate cards
Demand/sales history for forecasting
Your current KPI definitions and reporting gaps
We offer two engagement models with transparent pricing.
On-Demand Expertise
All work is tracked and billed monthly at hourly rates:
- Data Engineering & Database Administration - $110/hr
- Business Intelligence Reporting - $90/hr
- Data Science - $120/hr
Reserved Capacity Agreement
- Pre-purchase a 50-hour monthly package at $4,500 (10% savings)
- Guaranteed priority availability regardless of our workload
We also offer project-based pricing for well-defined engagements.
Contact us to discuss the best fit for your needs.
Related Articles
Insights and guides for logistics and supply chain analytics.
2 articles
How to Deploy Data Analytics in Manufacturing: From Shop Floor to Boardroom
A practical guide to deploying data analytics in manufacturing logistics and supply chain, built around the five-tier meeting structure that actually runs modern factories. From shift-level dashboards to multi-plant regional operations, powered by a single source of truth.
Inventory Analytics: Classification, Safety Stock, Consignment, and the KPIs That Matter
How to use data analytics for inventory classification, safety stock calculation, consignment stock management, and the KPIs that separate reactive planning from strategic inventory control.