Logistics · Delivery

Delivery employee AI assistant

A delivery employee AI assistant supports drivers and hub staff on the road. It answers manifest and route questions, guides exception handling for refusals, wrong addresses and damaged parcels, explains SOPs and compliance steps, captures proof of delivery correctly, and resolves shift, attendance and incentive queries — without calling the hub supervisor.

50%

fewer driver calls to hub supervisors

Faster

onboarding for new delivery staff

Cleaner

exception data for operations analytics

The problem today

  • Drivers call the hub for every exception, jamming supervisor lines during peak hours.
  • Inconsistent exception handling causes disputes and re-delivery costs.
  • New joiners take weeks to learn SOPs in a high-attrition workforce.

Who it is for

Logistics teams running delivery who want the employee journey automated end-to-end.

The agent ships pre-trained on logistics workflows, then is grounded on your own products, policies and systems — deployed on web, app, WhatsApp and voice with full audit logging and human handover.

How it works

Step 1

Brief

Route, manifest and priority deliveries summarised at shift start.

Step 2

Guide

Exception-specific SOP steps delivered in the driver's language.

Step 3

Capture

POD, images and reason codes recorded correctly the first time.

Step 4

Support

Attendance, incentive and payout questions answered instantly.

What the agent does

Route & manifest

Stop sequence, pending deliveries and COD amounts on demand.

Exception handling

Guided flows for refusals, wrong address, damage and reattempts.

SOP & safety

Compliance, handling and safety procedures in simple language.

Workforce support

Shift, leave, attendance and incentive queries self-served.

Frequently asked questions

Does it work on low-end phones?

Yes — it runs on WhatsApp and lightweight mobile web, with voice input support.

Can it work with poor connectivity?

Offline LLM deployment options allow core guidance to work with intermittent networks.

Does it integrate with our TMS?

Manifest, route and POD data sync with your transport management system.

Can it support multiple languages?

Drivers can interact in their preferred regional language, including by voice.