NeoTek Solutions builds AI for logistics and supply chain teams that predicts delays, reads bills of lading and delivery documents, answers shipment-status questions and flags freight billing errors. We work with carriers, brokers, shippers, warehouses and third-party logistics providers across Middle Tennessee and the US. From our Nashville headquarters we connect these tools to the transportation, warehouse and ERP systems you already run, and your dispatchers keep the final call.

We build from the point where Interstates 24, 40 and 65 meet. That puts much of the country within a day’s drive and makes Middle Tennessee a busy center for trucking, distribution and warehousing.


The Pressures Logistics Teams Face

The teams we work with run on thin margins and constant change. Weather, traffic, dock delays and driver availability reshape a day’s plan by mid-morning, while customers want accurate arrival times and quick answers. Every load also creates paperwork, from bills of lading to invoices and proof-of-delivery images.

Much of that work is still manual, with staff re-keying documents, chasing status updates by phone, auditing freight bills line by line and guessing at next week’s warehouse volume. We build AI to take the repetitive parts, so your people handle the exceptions that need judgment.


How Can AI Help Logistics and Supply Chain Teams?

ETA and Delay Prediction

Problem Static arrival estimates miss real conditions, so customers learn about delays too late.

What AI does We build machine learning models that combine GPS pings, lane history, dwell times and traffic patterns to predict arrival times and flag loads at risk.

Human in the loop We route risk flags to your dispatchers, who decide when to reroute, re-plan or call the customer.

Bill of Lading, Invoice and Proof-of-Delivery Processing

Problem Staff key data from scanned and photographed documents into your transportation management system.

What AI does We build document AI that reads each document, extracts shipment details, signatures and exceptions, and matches them to the load.

Human in the loop We route mismatches and unreadable fields to your billing staff before invoices go out.

Customer Shipment-Status Agents

Problem “Where is my shipment?” calls and emails tie up customer service teams.

What AI does We build an AI agent, meaning software that can look up data and take approved actions, that answers status questions from live tracking data.

Human in the loop We design the handoffs so claims, damages, upset customers and unusual requests reach a person right away.

Warehouse Labor and Volume Forecasting

Problem Warehouses overstaff slow days and scramble on busy ones.

What AI does We build forecasting models that use order history, customer patterns and seasonality to project inbound and outbound volume by day and shift.

Human in the loop We design forecasts as an input, and your operations managers set the final labor plan.

Carrier and Freight Audit Anomaly Detection

Problem Duplicate charges, wrong accessorials and rate errors slip through manual audits.

What AI does We build anomaly detection that compares each freight bill to contracted rates, lane history and shipment data, then flags outliers.

Human in the loop We route flagged bills to your auditors, who decide what to dispute or approve.

Exception Management

Problem Exceptions like missed pickups, refused loads and short shipments arrive through many channels.

What AI does We build on a large language model (LLM), an AI model that reads and writes text, to sort incoming messages and draft next steps from your playbooks.

Human in the loop We design it so your coordinators approve actions and handle cases that fall outside the playbook. Learn more about RAG for logistics exceptions.


Data, Security and Integration Considerations

Logistics AI only works when we connect data that lives in many places, so we plan for that first:

  • System integrationWe connect to transportation, warehouse and ERP systems through the APIs, EDI feeds and exports they support.
  • Data qualityTracking gaps and inconsistent location data are common. We measure data quality early and plan cleanup as part of the work.
  • Customer and partner dataShipment details often fall under customer contracts. We design access controls and data handling to match those terms.
  • Driver and location privacyLocation data about drivers needs clear purpose limits and access rules within your policies.
  • Private deploymentSolutions run in your cloud tenant on Azure, AWS or Google Cloud. Your data is never used to train public models.

We do not provide legal advice. We work within your contracts, policies and compliance program. Our AI governance, security and compliance service covers controls, monitoring and oversight.


How Can NeoTek Solutions Help Your Logistics Operation?

Your dispatchers, billing staff and auditors already know where the day leaks time. We build the tools that close those gaps and connect them to the systems running your freight.

  • Work we deliverDelay and arrival prediction, bill of lading and proof-of-delivery processing, shipment-status agents, freight audit checks, exception handling and volume forecasting.
  • Built on your systemsWe connect to your transportation, warehouse and ERP platforms through the APIs, EDI feeds and exports they support, so you keep the systems you run.
  • Built for customer data termsWe design access controls, driver location limits and retention to match your customer contracts and policies, and we run everything in your cloud tenant.
  • How we workShort cycles with AI-assisted delivery and human review, with success criteria agreed early, so you judge results against real loads and documents.
  • Skills on the teamAI and machine learning engineers, data engineers, cloud and security specialists and QA in one team, so integration, models and testing move together.
  • What makes us differentYou own everything we build, from the models to the integration code, and we never let your shipment or customer data train public models.

We work inside your contracts, policies and compliance program. Book a free AI consultation to pick one lane or document type to start with.


How Do Logistics Teams Start With AI?

  1. Assessment

    We map your freight and document workflows, review data sources and identify where time and money leak. Then we rank use cases.

  2. Focused proof of concept

    We test one use case, such as proof-of-delivery processing, on real documents and loads.

  3. Production

    We connect the solution to your systems, add monitoring and train your team. Then we move to the next use case.


Related Services


Frequently Asked Questions

Can you read our handwritten and photographed delivery documents?

Usually, yes. We build document AI that handles scans, phone photos and much handwriting, and we send hard-to-read fields to your billing staff for review rather than letting the model guess.

How do you keep a shipment-status agent from frustrating our customers?

We limit the agent to routine status questions answered from live tracking data, and we build the handoff rules that send claims, damages and upset customers straight to a person.

Will you make us replace our TMS or WMS?

No. We build on the systems you already run and connect through their APIs, EDI feeds or exports. We confirm the integration options during the assessment.

How accurate will our arrival predictions be?

We measure predictions against actual arrivals during the proof of concept, so you can judge the results before going further. Accuracy depends on your tracking data quality and lane history.

Will you work with a smaller carrier or broker?

Yes. We often start smaller teams with document processing or freight audit checks, and we size the work and the cost to your volume.


Keep Freight Moving With Practical AI

Find out where AI can cut manual work and catch problems earlier in your operation. Book a free AI consultation or take the free AI readiness assessment.