Real-Time Shipment Tracking & Delivery OTP via WhatsApp & SMS for Logistics in India
Cut RTO rates, send live out-for-delivery alerts, confirm OTP at handover and let customers reschedule via WhatsApp — for 3PLs, e-commerce logistics and hyperlocal delivery fleets.
- Pickup-to-delivery alerts — Automated lifecycle messages for pickup, hub-in, hub-out, out-for-delivery and delivered.
- OTP at delivery — Single-channel or multi-channel OTP at the moment of handover for high-value packages.
- Reschedule on WhatsApp — Customer can reschedule a missed delivery via interactive buttons, reducing failed second attempts and RTO.
- Rider–customer call masking — Voice connect that hides personal numbers on both sides, with call recording for audit.
Indian logistics and last-mile delivery operates at scale where small percentage improvements translate into significant margin. A 2% reduction in RTO across a million orders is real money. A faster pickup-to-delivery message lifecycle is real CX. Ojiva AI gives 3PL operators, e-commerce in-house logistics teams, hyperlocal delivery platforms, quick-commerce companies and B2B logistics aggregators a single multi-channel layer for every shipment touchpoint — pickup confirmation, hub-in / hub-out, out-for-delivery, OTP at handover, delivery confirmation with photo proof, return / reschedule flow and rider-customer call masking. Built to handle festive-season peaks without dropping messages, with template hygiene that keeps delivery rates clean across operators.
What Logistics & Delivery teams tell us they struggle with
High RTO that eats unit economics
Returns to origin destroy the unit economics on lower-AOV orders. The biggest driver — "buyer not available" failures — is exactly what pre-delivery confirmation messages prevent. Even a small reduction compounds across volume.
Low driver-customer trust at the doorstep
Customers want to know who is at the door. A verified-sender notification just before delivery, with rider name and number, builds confidence and reduces refused deliveries.
Volume spikes that strain the messaging stack
Festive seasons, sale events and quarter-end peaks need a stack that scales without queueing. Throughput, route diversity and operator routing all need to be sized for the worst hour, not the average.
Pickup confirmation, shipment tracking & delivery OTP via Bulk SMS
Default rail for high-volume transactional logistics traffic — pickup confirmed, hub events, out-for-delivery, OTP at handover, delivered confirmation. DLT-registered with route diversity for peak handling.
- Pickup-to-delivery alerts
- OTP at delivery
- Reschedule on WhatsApp

Real-time WhatsApp delivery alerts, reschedule flows & rider–customer connect
Where buyer interaction lives — reschedule flows with interactive buttons, two-way chat for delivery questions, photo proof of delivery sent directly to the buyer.
- Rider–customer call masking
- Photo proof of delivery
- Return-pickup coordination

Rich RCS delivery cards with live tracking links and confirmed-delivery badges
For supported devices, RCS adds verified sender, brand colours, rich delivery cards with map, ETA and rider details. Useful for premium logistics brands where the doorstep experience starts in the inbox.
- Confirm COD intent before pickup
- Send out-for-delivery with rider details
- Use interactive reschedule for missed attempts

Key workflows for Logistics & Delivery teams
Each workflow ships in days — no custom dev needed. Use no-code flows, the visual builder, or REST API.
Pickup-to-delivery alerts
Automated lifecycle messages for pickup, hub-in, hub-out, out-for-delivery and delivered. Buyer always knows where the package is without asking.
OTP at delivery
Single-channel or multi-channel OTP at the moment of handover for high-value packages. Multi-channel fallback (SMS → WhatsApp → Voice) keeps delivery moving even when one channel is degraded.
Reschedule on WhatsApp
Customer can reschedule a missed delivery via interactive buttons, reducing failed second attempts and RTO. Rider gets the new slot without back-and-forth via dispatch.
Rider–customer call masking
Voice connect that hides personal numbers on both sides, with call recording for audit. Protects driver privacy and customer privacy equally.
Photo proof of delivery
Rider app captures a photo of the delivered package; the platform sends it to the buyer over WhatsApp as soon as the delivery is marked complete. Reduces dispute volume sharply.
Return-pickup coordination
For returns and exchanges, the buyer schedules the pickup directly via WhatsApp button, the rider gets the new task automatically, and confirmation lands when the return is collected.
Why Logistics & Delivery teams choose Ojiva AI
The results that move the needle — across SMS, WhatsApp, RCS and Voice.
Lower RTO percentages
Pre-delivery confirmation flows reduce "buyer not available" failures and protect margins on COD and first-attempt orders.
Higher first-attempt delivery success
Same-day reminder + reschedule-button + voice fallback combine to push first-attempt success rates up.
Reduced dispute volume on POD
Photo-proof of delivery sent to the buyer eliminates "I never received it" disputes.
Better driver privacy and CX
Number-masked rider-customer voice connect protects both parties while preserving call records for audit.
Scaling without breakages on peak days
Festive-season throughput sized for worst-hour handles Diwali / EoSS / sale events without messages dropping or queueing.
DLT-registered for transactional flows. Number-masking voice connects are designed with privacy and recording-consent in mind.
Logistics communication is overwhelmingly transactional and subject to standard TRAI DLT requirements. Where it gets nuanced is in voice number-masking — Ojiva AI provisions number masking with per-call audit, with recording-consent flows where applicable. For high-volume operations with multiple business entities (e.g., logistics arm of an e-commerce parent), per-entity DLT registration and template separation are handled as part of onboarding.
Logistics & Delivery — Frequently asked questions
Common questions from logistics & delivery teams evaluating Ojiva AI.
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