Delivery and logistics hiring: onboard faster than candidates go inactive

Window in which new delivery partners are most likely to go inactive before completing any order

Industry commentary from gig-platform observers notes that onboarding-to-first-order activation is the highest-risk drop-off window. Candidates who do not complete an order within 72 hours of onboarding rarely return.

Monthly attrition on major food and quick-commerce delivery platforms

Reused from gig-economy solution page (IND-LOGI-02). Some platforms turn over their active base every 3–4 months. This is monthly attrition, not annual.

India's gig workforce in FY25 (Economic Survey 2025–26)

Projected to reach 23.5 million by FY30 (Economic Survey 2025–26, Government of India). Delivery and logistics is the largest sub-segment.

Central legislation providing statutory recognition and welfare entitlements for gig/platform workers

The Code on Social Security 2020 formally recognises gig and platform workers outside the traditional employer-employee model and mandates aggregator contributions to a Social Security Fund. Implementation rules and state-level schemes (e.g. Rajasthan) are at various stages of rollout.

Fake documents and duplicate accounts

Festive-season hiring surges in e-commerce delivery have exposed systematic forged-identity and duplicate-account fraud. Riders with suspended accounts or unmet background checks create new profiles. Screening must catch intent and attitude flags early; actual document verification is a separate mandatory step.

Income expectation mismatch is the leading early-exit driver

Candidates join delivery platforms expecting ₹25,000–30,000 per month and discover that earnings depend on completed orders, surge windows and vehicle operating costs. The gap between advertised per-delivery rates and net take-home after fuel and maintenance causes first-week exits. The screen must set honest expectations.

Licence, vehicle and RC verification

A delivery executive without a valid commercial licence, registered vehicle or required insurance is a road-safety and legal liability. These documents must be physically or digitally verified before deployment — the AI screen can confirm self-reported status and flag inconsistencies, but cannot substitute for document verification.

COD cash handling and QR code fraud

Cash-on-delivery roles expose riders to fraud from both sides — customers presenting fake payment screenshots and riders misappropriating cash. Candidates need basic financial honesty and a clear understanding of platform protocols. A scenario question on what to do when a customer shows a screenshot but no bank notification gives useful signal.

Local address and language knowledge

A delivery executive who cannot read the local script or navigate local street names by spoken address is slower, more likely to cancel orders and more likely to trigger customer complaints. Language and local knowledge screening should match the deployment geography.

Women delivery partners face safety and infrastructure gaps

Quick-commerce platforms are expanding women delivery partner programmes, but candidates face practical barriers: late-night shifts, absence of safe rest stops, and zones without adequate lighting. A screen that probes preferred shift windows and safety comfort honestly is more respectful than glossing over these realities.

Honest income expectation

Why it matters: Mismatch between expected and actual earnings is the leading early-exit driver for delivery partners.

How to screen: State the realistic per-day earnings range explicitly and ask whether that meets the candidate's income needs. This is not a trick — it is a signal that the interview is honest about the role.

COD and cash handling protocol

Why it matters: COD riders handle physical cash and face fraud from customers using fake payment proofs.

How to screen: Present a scenario: the customer shows a screenshot of payment but no notification appears on your app. What do you do? Score on whether the candidate waits for platform confirmation rather than handing over the parcel.

Local knowledge and language

Why it matters: Order completion rates and customer satisfaction depend on the rider navigating local streets and communicating with customers confidently.

How to screen: Ask the candidate to describe how they would find an address in a neighbourhood they do not know well. Score on use of maps, local inquiry, language comfort.

Platform code of conduct awareness

Why it matters: Account sharing, delivery of prohibited items and customer harassment are grounds for permanent deactivation on most platforms — and are a liability for the aggregator.

How to screen: Ask what the candidate would do if a friend offered to use their account for a few orders. A candidate who sees no problem with this presents a conduct risk.

One link per role, shared over WhatsApp

Share a delivery-partner link, a warehouse-associate link and a customer-care link. Candidates complete the interview in their language on their phone.

Knockouts filter fast — no licence, no queue

Vehicle, licence and shift availability knockouts end ineligible applications immediately. Only candidates who pass these move forward.

Scenario questions screen conduct and honesty

COD fraud, account sharing and income expectation scenarios give real signal about which candidates will be reliable on the platform.

Pre-verified shortlist ready for document check

Your team receives a ranked report. Document verification — licence, RC book, police clearance — is a separate step that remains with HR.