Logistics & Supply Chain Analytics
Supply chain analytics for logistics operators. Unified TMS, WMS, ERP, and carrier data so your team gets real time visibility and faster decisions.
Topics
- logistics data analytics consulting
- supply chain visibility analytics
- transportation BI consulting
- warehouse analytics
- inventory analytics
- logistics operations reporting
- supply chain disruption analytics
- carrier performance dashboard 2026
Work delivered in this industry
We made inventory and customer data migration-ready in 7 weeks, before a go-live date was ever set.
7 wks Assessment plus priority remediation.
What clients in this industry usually arrive with
- Reporting can't be trusted, described as sales and finance numbers don't match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
- Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
- Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
- Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
- AI projects aren't delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
- AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.
Who owns the problem, by department
Core operations (order to delivery)
Owned by VP Operations, Director of Dispatch, Head of Customer Operations. Every exception is a phone call and the customer finds out last.
Late pickups, missed scans, damage, and re-delivery handled reactively by dispatchers across TMS, email, and phone. Process mining baselines exception volume and cost; agent detects exceptions from tracking events, re-plans or re-books, notifies the customer, escalates anything with a cost impact.
Measured on On-time delivery, exceptions per 100 loads, dispatcher loads per day.
The work behind it: AI agents and workflow automation, Process mining, Human-in-the-loop operations design, Workflow and system integration, Proof of concept.
Top reinvention target is first and final mile scheduling at 35%; 42% name redesigning the process the main structural risk (ORTEC 2026, 2,000+ executives).
Finance and accounting
Owned by CFO, Controller, Freight Audit Manager. We pay carrier invoices we shouldn't.
Freight audit and accessorial disputes done by hand or not at all; invoices paid as billed. Agent audits carrier invoices against rate agreements and tenders, disputes accessorials with evidence, tracks recovery; hard dollar ROI in month one.
Measured on Overbilling recovered, audit coverage, days to pay.
The work behind it: AI agents and workflow automation, Document processing, Process mining, Workflow and system integration.
30% of logistics leaders want a clear ROI measurement framework before adopting agents (ORTEC 2026).
Customer service
Owned by Director of Customer Service, Account Management lead. Where's my shipment, send me the POD, file a claim.
Status, proof of delivery, and loss or damage claims handled by email with manual lookups. Agent answers status, retrieves and sends PODs, opens and assembles loss and damage claims with documentation; claim decisions stay with a person; every answer traceable.
Measured on Status inquiries per rep, POD turnaround, claim cycle time.
The work behind it: AI agents and workflow automation, Document processing, Human-in-the-loop operations design, Agent evaluation and QA.
26% cite lack of model explainability as a blocker; a logged decision trail is the direct answer (ORTEC 2026).
Shared services (carrier and driver onboarding)
Owned by Director of Carrier Relations, Compliance Manager. Onboarding a carrier takes days of chasing insurance certs.
Documents, COIs, authority checks, and system setup done by email; expired certificates missed. Agent collects and verifies documents, checks FMCSA authority and insurance, sets up the carrier in the TMS, monitors and flags expiring COIs.
Measured on Carrier onboarding days, compliance exceptions, expired COIs caught.
The work behind it: AI agents and workflow automation, Document processing, Human-in-the-loop operations design.
23% cite lack of in-house expertise as the reason nothing is automated (ORTEC 2026).
IT and transformation
Owned by CIO, Director of Systems. TMS, WMS, and accounting don't talk.
Orders, tracking events, and invoices rekeyed between systems; integration quotes too expensive. Integration keeps TMS, WMS, and ERP in sync; agent handles the exceptions integration alone cannot; evaluation proves accuracy before cutover.
Measured on Rekeying hours, sync errors, integration cost vs quote.
The work behind it: Workflow and system integration, AI agents and workflow automation, Agent evaluation and QA.
High integration cost with existing systems is the top frustration at 32%; 24% say seamless integration would most speed adoption (ORTEC 2026).
Start with the 30-day Analytics Truth Audit.
Logistics analytics built for operations.
Why supply chain analytics projects fail.
What logistics and supply chain clients ask before they engage.
Often paired with logistics and supply chain engagements.
Your operations data should be available before the morning standup.
Moving to S/4HANA? The risk is your data, not the platform.
Five departments, five different versions of the same problem.
Core operations (order to delivery)
Finance and accounting
Customer service
Shared services (carrier and driver onboarding)
IT and transformation
No real-time data pipeline from TMS, WMS, and ERP into the reporting layer
WMS, ERP, and spreadsheet data aren't reconciled in a single source of truth
Historical demand data is incomplete, inconsistent, or not structured for modeling
Yes. We've worked with SAP, Oracle, and other ERP systems in logistics environments. We build the reporting layer on top of your existing systems and connect them to TMS and WMS data sources.
Yes. We design data pipelines that support near-real-time operational reporting for transportation, warehouse, and inventory data. The architecture depends on your source system capabilities, which we assess in the initial audit.
We normalize carrier and 3PL data into a unified schema so you can compare performance across providers. This includes EDI data, API feeds, and manual file imports from carriers who don't support automated data exchange.
Most logistics data foundation engagements run 10 to 14 weeks. We start with a 30-day Analytics Truth Audit that maps your current data landscape and identifies the highest-priority improvements.
Supply chain visibility consulting for logistics operators. Unify TMS, WMS, ERP, and carrier data to reduce costs and improve on-time performance.
Supply chain and logistics analytics. Operational metrics, carrier data, and AI readiness.
Logistics & Supply Chain We help you get a clear picture of your entire supply chain. From tracking shipments to spotting bottlenecks, we dig into the data so you don’t have to. Our goal? Make your logistics smoother and faster. We crunch the numbers on everything, inventory levels, delivery times, route efficiency, so you can cut costs and avoid surprises. If you want to see where your operations really stand, we’ve got you covered.
Supply chain visibility software spending is growing at 13% annually through 2027. But most logistics operators aren't getting the visibility they paid for because the data feeding those platforms is fragmented, delayed, or structurally wrong. We fix the data layer first. Then we build the operational dashboards, carrier performance analytics, and inventory intelligence your team needs to see disruptions before they become delays.
What logistics and supply chain clients ask before they engage.
We pull your TMS, WMS, and ERP data into one spot. No more jumping between systems. Everything just clicks together.
We create dashboards that show you exactly how your operations and carriers are performing. No fluff, just clear info, right where you want it.
We help you figure out what’s coming so you’re never blindsided. Then, we find the fastest routes to save you time and money. That’s it.
Your operations data should be available before the morning standup.
The 30-day Analytics Truth Audit identifies every data gap and manual reporting workflow that's slowing your operations team down.
Distribution runs on inventory accuracy. Duplicate SKUs, inconsistent units of measure, and dark data stall the move. Our SAP practice cleans, maps, and validates it before you migrate, so fulfillment visibility survives cutover.
Core operations (order to delivery), owned by VP Operations, Director of Dispatch, Head of Customer Operations.
Every exception is a phone call and the customer finds out last.
Late pickups, missed scans, damage, and re-delivery handled reactively by dispatchers across TMS, email, and phone.
Process mining baselines exception volume and cost; agent detects exceptions from tracking events, re-plans or re-books, notifies the customer, escalates anything with a cost impact.
Measured on On-time delivery, exceptions per 100 loads, dispatcher loads per day.
The work behind it: AI agents and workflow automation, Process mining, Human-in-the-loop operations design, Workflow and system integration, Proof of concept.
Top reinvention target is first and final mile scheduling at 35%; 42% name redesigning the process the main structural risk (ORTEC 2026, 2,000+ executives).
Finance and accounting, owned by CFO, Controller, Freight Audit Manager.
We pay carrier invoices we shouldn't.
Freight audit and accessorial disputes done by hand or not at all; invoices paid as billed.
Agent audits carrier invoices against rate agreements and tenders, disputes accessorials with evidence, tracks recovery; hard dollar ROI in month one.
Measured on Overbilling recovered, audit coverage, days to pay.
The work behind it: AI agents and workflow automation, Document processing, Process mining, Workflow and system integration.
30% of logistics leaders want a clear ROI measurement framework before adopting agents (ORTEC 2026).
Customer service, owned by Director of Customer Service, Account Management lead.
Where's my shipment, send me the POD, file a claim.
Status, proof of delivery, and loss or damage claims handled by email with manual lookups.
Agent answers status, retrieves and sends PODs, opens and assembles loss and damage claims with documentation; claim decisions stay with a person; every answer traceable.
Measured on Status inquiries per rep, POD turnaround, claim cycle time.
The work behind it: AI agents and workflow automation, Document processing, Human-in-the-loop operations design, Agent evaluation and QA.
26% cite lack of model explainability as a blocker; a logged decision trail is the direct answer (ORTEC 2026).
Shared services (carrier and driver onboarding), owned by Director of Carrier Relations, Compliance Manager.
Onboarding a carrier takes days of chasing insurance certs.
Documents, COIs, authority checks, and system setup done by email; expired certificates missed.
Agent collects and verifies documents, checks FMCSA authority and insurance, sets up the carrier in the TMS, monitors and flags expiring COIs.
Measured on Carrier onboarding days, compliance exceptions, expired COIs caught.
The work behind it: AI agents and workflow automation, Document processing, Human-in-the-loop operations design.
23% cite lack of in-house expertise as the reason nothing is automated (ORTEC 2026).
IT and transformation, owned by CIO, Director of Systems.
TMS, WMS, and accounting don't talk.
Orders, tracking events, and invoices rekeyed between systems; integration quotes too expensive.
Integration keeps TMS, WMS, and ERP in sync; agent handles the exceptions integration alone cannot; evaluation proves accuracy before cutover.
Measured on Rekeying hours, sync errors, integration cost vs quote.
The work behind it: Workflow and system integration, AI agents and workflow automation, Agent evaluation and QA.
High integration cost with existing systems is the top frustration at 32%; 24% say seamless integration would most speed adoption (ORTEC 2026).