Perspectives on Logistics & AI
Articles, videos, and ground-level thinking from the WebXpress team — on AI in logistics, fleet management, and the technology shaping supply chains across India and the region.
Vehicles stuck in rains for hours. Who will renew 1,000 e-way bills?
Monsoon hits the Mumbai-Pune expressway. 10 trucks stranded near Khopoli. 1,000 parcels inside. 1,000 e-way bills ticking. Your compliance team is 4 people. Industry practice is to log into the GSTN portal and renew manually -- fine for 200 shipments, impossible at midnight with 1,000. And vehicle change is the everyday version: new truck arranged, nobody updated the vehicle number on GSTN, mismatch at the naka. WebXpress removes the human loop entirely.
1,000 trucks. And nobody knows how many are empty right now.
A truck finishes unloading in Chakan. Parks. Waits. 3km away a load is waiting. Your team dispatches a fresh truck from Bhiwandi -- 185km. The free vehicle was never visible. On a 1,000-vehicle fleet, this happens dozens of times daily. WebXpress tracks 5 real-time vehicle states and predicts when vehicles will become free 2-3 hours ahead -- before demand is even raised.
Your TMS has a blind spot. It's called "just finished unloading."
GPS tells you where a truck is, not whether it is free. On a 1,000-vehicle fleet, trucks sit idle after unloading while a fresh one gets dispatched 185km away — dozens of times a day, ₹8 crore a year, and nobody tracks it. WebXpress predicts free vehicles 2–3 hours ahead across 5 real-time states — no driver calls, no scramble.
Weekend Read: Five Questions To Ask AI Tech Partner
You must have sat through more AI demos this year than in the previous ten combined. Most were impressive. Fewer were entirely true. Five questions worth asking before you believe any AI claim in logistics — including ours.
6 out of 10 deliveries were arriving late — and nobody had noticed.
WebXpress AI analytics on 7,219 shipments for a leading global footwear and apparel brand in India, across two months and every transporter and channel. On-time delivery: 40.5%, against an industry benchmark of 75–80%. Two logistics partners had zero POD across 289 dockets — ₹54 crore in receivables with no proof of delivery.
How WebXpress AI Calls Your Truck Driver Automatically | Hindi Transcript
Real production call from June 2026 — AI calling a truck driver after an unexpected 47-minute stoppage on the Mumbai–Pune route. No script re-enactment. See the full Hindi transcript on screen and how the outcome writes back to WebXpress automatically.
Can AI save you money?
An example of how AI combined with a Transportation Control Tower can actually save costs, not just add visibility. Shared with the CII Institute of Logistics and Logistics Insider communities.
Hawkeye 2.0 — AI Driven Control Tower | 60-second walkthrough
One minute walkthrough of Hawkeye 2.0 — Mission Control, live fleet map across India, Smart Trip Timeline, Alert Intelligence, In-Cab ADAS Safety, AI-Driven Escalation, Trip Replay, and the AI Voice Agent that calls drivers automatically.
WebXpress has launched its completely AI-driven logistics platform.
A full relaunch of our platform — TMS, WMS, Control Tower, and 14 AI agents built natively into one system. This is not AI bolted on top. It is AI built into the data model, the workflows, and the decision layer. For logistics companies ready to operate at a different level.
AI Agents are not taking away any jobs in Logistics.
Six months ago, I went quiet on LinkedIn. Not because nothing was happening at WebXpress AI — because we were heads-down building something we believed in. The question everyone keeps asking is whether AI will replace logistics jobs. The real answer is more nuanced, and more interesting, than the headlines suggest.
What ground-level logistics really looks like — and why it matters for software.
Recently I got an opportunity to understand what logistics looks like when you step away from the dashboard and into the yard, the loading dock, the driver's cab. Logistics software that does not understand the ground is just expensive spreadsheets. Here is what we learned.
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