Logistics, Supply Chain & Transportation

AI in Logistics, Supply Chain & Transportation

Freight forwarders, carriers, couriers and distributors lose whole days to tracking calls, check calls and retyped shipping documents. We build AI voice agents, WhatsApp chatbots, document automation and forecasting models that take that work off your coordinators and dispatchers.

Overview

AI in logistics, built around your shipments, drivers and documents

Logistics runs on phone calls, WhatsApp messages and paperwork. Customers call to ask where their shipment is. Dispatchers phone drivers for ETAs. Brokers make check calls to carriers every few hours. Every container generates a bill of lading, a commercial invoice, a packing list and a customs declaration, and someone retypes them into the TMS or ERP. AI in logistics takes over this routine work. The Botss is a logistics AI development company that builds voice agents, chatbots, automation and custom models for freight forwarders, 3PLs, carriers, couriers and distributors, so your coordinators spend their time on the exceptions that actually need them.

We don't start from a product. We start from your lanes, your systems and your busiest queues. For a last-mile courier in Karachi or Riyadh, that might be a WhatsApp assistant that answers tracking questions and confirms cash-on-delivery orders before the rider leaves the hub. For a freight broker in the US, it might be a voice agent that runs carrier check calls and writes each update into the TMS. For a distributor, it might be automation that reads purchase orders from email and posts them into SAP, Odoo or NetSuite, or a forecasting model that tells procurement what to reorder and when.

Our closest shipped work comes from other industries, and the parts that matter carry over directly. For AA JoyLand we built a WhatsApp chatbot with an admin analytics panel, on the same channel your customers and drivers already use. For CanVisas we built a chatbot that qualifies enquiries and routes them to the right consultant, which is the pattern behind routing freight quote requests to the right desk. For Vikk we built document analysis on retrieval-augmented generation, the same approach that reads shipping documents. And IWMCRM, our AI-powered CRM for pharma distribution, already handles vendor, product and team management with predictive analytics.

We work with clients across the GCC, Pakistan, Europe and North America. Every system is designed around the data-protection rules that apply to driver and customer data where you operate, and it can be hosted in your own cloud and region.

The problem

Logistics challenges we solve

01

"Where is my shipment?" all day long

Customer service and dispatch answer the same tracking question by phone, email and WhatsApp, even when the answer is already sitting in the TMS or the carrier's portal.

02

Check calls that eat the shift

Brokers and dispatchers phone carriers and drivers for location and ETA, then type the answer in by hand. When an update is late, the customer hears about the delay before you do.

03

Shipping documents in every format

Bills of lading, commercial invoices, packing lists, customs declarations and proof of delivery arrive as PDFs, scans and phone photos. Rekeying them slows clearance and billing.

04

Failed deliveries and COD leakage

In Pakistan and the GCC, much of last-mile volume is cash on delivery. Unconfirmed orders, wrong addresses and refused parcels mean wasted trips, and rider cash reconciliation lives in spreadsheets.

05

Carrier invoices nobody has time to audit

Invoices rarely match the rate confirmation line for line. Detention, fuel surcharges and other accessorials get paid because checking every invoice by hand isn't realistic.

06

Planning from last month's spreadsheet

Demand, routes, warehouse slots and fleet use are planned on gut feel. Trucks run half empty on some lanes while other customers face stockouts and expensive expedited freight.

What we build

AI services for Logistics, Supply Chain & Transportation

Use cases

AI use cases in Logistics

AI dispatch and check calls

A voice agent calls drivers and carriers for location, ETA and pickup confirmation, and writes the answers straight into your TMS.

Shipment tracking on WhatsApp

Customers send a tracking number and get the latest status and ETA instantly, in English, Arabic, Urdu or their own language.

COD confirmation and failed-delivery recovery

Calls and messages confirm cash-on-delivery orders before dispatch and rebook missed deliveries with a corrected address or time slot.

Freight quote intake and routing

Collects origin, destination, weight, dimensions and service level, then sends qualified quote requests to the right sales or pricing desk.

Freight document processing

Reads bills of lading, commercial invoices, packing lists and proof of delivery and posts the data into your TMS or ERP.

Invoice matching and freight audit

Matches carrier invoices against bookings and rate confirmations and flags surcharges or charges that don't match before you pay.

Demand forecasting and replenishment

AI for supply chain planning that predicts demand by SKU and location so procurement orders the right quantity at the right time.

Route and fleet optimization

Plans routes around delivery windows, vehicle capacity and driver shifts, and shows which trucks sit idle or run empty.

Our work

Related Work

Why The Botss

Why Logistics teams choose us

Built for the channels your network uses

Drivers, customers and suppliers already use the phone, WhatsApp and email. We put the AI there instead of asking anyone to install a new app.

Connects to your TMS, WMS and ERP

We integrate with SAP, NetSuite, Odoo, Dynamics 365, your TMS and telematics through their APIs and webhooks, so your teams keep the tools they know.

People handle the exceptions

AI takes the routine calls, messages and documents. Damaged freight, rate negotiations and angry customers go to your staff with the full context attached.

Designed for data-protection rules

Driver locations and customer addresses are personal data. We design for GDPR, the UAE and Saudi PDPL, and TCPA consent rules for US outbound calls, with access controls and audit logs.

Multilingual for drivers and customers

Your AI can speak with a driver in Urdu, a consignee in Arabic and a shipper in English, and switch language mid-conversation.

You own everything

Code, models and data stay yours, with 100% IP ownership and hosting in your own cloud or region. No lock-in to our platform.

(Process)

How we deliver AI projects

  1. 01Discovery & use-case mappingWe map your workflows, data and compliance constraints, then rank AI use cases by impact and effort.
  2. 02Data & integration auditWe check the systems the solution must read from and write to, and how clean that data really is.
  3. 03Working prototypeA pilot on your real data in weeks, so you judge results before committing to a full build.
  4. 04Build, integrate & testProduction engineering, security hardening and testing against real conversations and edge cases.
  5. 05Launch & team trainingPhased rollout with your staff trained on handoffs, dashboards and overrides.
  6. 06Monitor & improveWe track accuracy, adoption and ROI after launch and keep tuning the system as your business changes.
FAQ

AI in Logistics: FAQs

How is AI used in logistics?

Mostly to take repetitive work off people. The common uses are answering tracking calls and messages, running check calls, reading shipping documents, auditing freight invoices, forecasting demand and optimizing routes. Supply chain AI software also flags shipments that are about to miss a milestone so your team can act early.

Can AI answer "where is my order" calls and WhatsApp messages?

Yes. A voice agent or chatbot takes the tracking number, looks it up in your TMS, courier system or visibility platform and gives the current status and ETA. If the shipment has an exception, it explains what happens next or hands the customer to your team.

Will AI replace our dispatchers or customer service team?

No. It handles the routine calls, messages and data entry so the same team can manage more shipments. Decisions that need judgment, such as rerouting a load or settling a claim, stay with your people.

Does AI work with our TMS, WMS or ERP?

Usually, yes. We connect through APIs and webhooks for systems like SAP S/4HANA, Oracle NetSuite, Odoo, Microsoft Dynamics 365 and most modern TMS and WMS platforms. Where there's no API, we use secure file or database integrations, and we confirm what's possible before the build starts.

Can AI read bills of lading and customs documents?

Yes. Language and vision models extract fields like shipper, consignee, container number, HS codes, weights and charges from PDFs, scans and phone photos. Anything low-confidence goes to a person to check before it's posted.

Is driver and customer data safe with AI?

It can be, if the system is built for it. We encrypt data, restrict access by role, log every action and can host in your own cloud and region. We design to support GDPR in Europe and the PDPL in the UAE and Saudi Arabia.

Can your AI talk to drivers in Urdu or Arabic?

Yes. Our voice agents and chatbots support English, Arabic, Urdu and many other languages, which matters for driver and rider networks in Pakistan and the Gulf.

Where should a logistics company start with AI?

Usually with the busiest repetitive queue: tracking enquiries, check calls or document entry. One focused system there shows results quickly and gives you clean data for the next step, such as forecasting or route planning.

How long does a logistics AI project take?

It depends on scope. Focused chatbots like our CanVisas and Estraha builds went live in three to four weeks. Deeper TMS integration, document automation or a custom forecasting model takes longer, and we give you a timeline after discovery.

How much does AI for a logistics company cost?

It depends on the use case, your shipment and call volumes, and how many systems it connects to. We scope each project and give a fixed quote after discovery. Book a call and we'll outline a realistic first phase.

Your team should manage freight, not phones.

Tell us which calls, messages or documents eat the most hours. We'll show you which AI system pays off first and what it takes to build.