Deliver updates as fast as your parcels.

In last-mile logistics, the headline cost isn't fuel or rider wages — it's the failed delivery attempt. Every NDR (non-delivery report) means a rider burned a trip, the parcel goes back to the hub, a reattempt gets scheduled, and in the worst case the whole shipment returns to origin as an RTO, wiping out the margin on the sale and often the shipping revenue too. In Indian e-commerce, a large share of failed attempts come down to two fixable causes: the customer wasn't home, or the address was wrong or incomplete. Both are conversations that should happen before the rider leaves the hub, not after they're standing at a locked door.

WhatsApp is uniquely suited to fix this because it's read and it's interactive. An address-confirmation prompt before dispatch flags a bad pin while there's still time to correct it; a one-tap reschedule on the out-for-delivery alert lets a customer who's at work move the slot instead of failing the attempt. Shippers running these flows typically cut failed attempts by 20–30% within the first quarter — and because each avoided failure removes a reattempt trip and a possible RTO, the saving compounds across the network.

The channel also absorbs the WISMO load. 'Where is my order' queries are 70–80% of inbound volume for most logistics support desks, and they're almost entirely deflectable: proactive pickup, in-transit and out-for-delivery alerts pulled from your TMS mean the customer already knows the answer before they'd have called.

The technical pattern is straightforward: map each shipment status in your OMS, WMS or courier-management system to a WhatsApp template, and trigger it over InfiQ's webhooks and REST API. A booking event fires a 'shipment created' note; a pickup scan fires an in-transit alert; an out-for-delivery scan fires the alert with the rider name and a live-track and reschedule button; a delivery scan fires a POD request; a failed scan fires the NDR-recovery follow-up. Platforms like Shopify and Unicommerce, or an in-house TMS, all plug in the same way, and most teams wire up their core status events in under two weeks.

Two flows deserve special attention. Address confirmation should run at the point where a bad address is cheapest to fix — ideally at order placement or the night before dispatch — with a quick-reply prompt asking the customer to confirm or correct. NDR recovery should be automatic and fast: the minutes after a failed attempt are when the customer still remembers ordering, so an immediate follow-up with confirm-address / pick-slot / cancel buttons resolves a large share of failures without a human touching them.

Whatever the chatbot can't close routes into a shared team inbox where last-mile ops agents see full shipment context and can reassign, tag or escalate — so the exceptions that genuinely need a person get one, with the history already attached.

Meta requires opt-in even for transactional shipment updates, so collect it where the shipment originates — a checkout checkbox on the merchant's site, or a booking-form opt-in for B2B consignments. InfiQ stores each consent with a timestamp, plus audit logs and role-based access controls, so every message you send is traceable to a documented opt-in. For 3PLs handling other brands' shipments, that consent trail also protects your merchant relationships.

Cost forecasting is clean because tracking and delivery alerts are utility messages — one of Meta's lowest-priced tiers under the per-delivered-message model in force since 1 July 2025 — and they're free when sent inside an open 24-hour service window. A shipper can model a firm cost per shipment across its confirmation, in-transit, out-for-delivery and POD templates before going live, and that per-shipment cost is almost always dwarfed by the cost of a single avoided reattempt or RTO.

Go-live is fast for the core flow: most logistics teams have their essential status events sending within the first week or two, and InfiQ's typical 2-hour activation gets the number and templates approved quickly. Plans start at ₹999 and ₹2,999 per month, with custom volume pricing for high-throughput networks where per-message economics and dedicated throughput matter.