Most delivery operations run on a single, unverified claim: a rider taps "delivered," and the order is considered closed. Nothing confirms the parcel reached the right person, nothing confirms cash was actually collected if the order was COD, and nothing distinguishes a genuine delivery from a status update made from three streets away. The gap only becomes visible when a customer disputes it — by which point there is no record to check it against, only the rider's word versus the customer's.
Verification, not trust, is the actual product
A delivery order is assigned to a rider for the day with a customer, address and a single deliver-by time. The rider's own field-staff mobile seat — the same one already used for attendance and field visits — gets a dedicated view for it, so there is no second app to roll out. Each delivery attempt, successful or not, is recorded as its own geo-tagged entry against the order, preserving the full history of what was tried and when, rather than overwriting the previous attempt with the latest status. See delivery orders for the full capability list.
A WhatsApp PIN confirms the handoff, not the tap
At the point of delivery, a one-time PIN is sent to the customer over WhatsApp and entered by the rider to complete the order. That single step changes what "delivered" means — from a rider's self-reported status to a confirmation that the actual recipient received the order. See how AttendancePay already uses WhatsApp for attendance, the same channel this reuses for delivery verification.
Cash-on-delivery tracked per order, not per rider
COD is recorded as a yes/no against each specific order at the point of delivery, so end-of-day reconciliation is a report against individual orders rather than a single lump total a rider hands in and everyone trusts. A mismatch is visible immediately, against the order it belongs to, not discovered as a vague shortfall days later.
Anomalies are flagged automatically, not discovered by complaint
Deliveries completed unusually fast, from well outside the delivery address, or with GPS signals that do not check out are flagged from the attempt data itself — no manual spot-checking required. The same system tracks addresses that fail delivery repeatedly within a short window, surfacing a pattern worth investigating before it becomes a third missed attempt and an angry customer.
A scorecard that reflects real performance, not just order count
On-time rate, completion rate, first-attempt success and a clean-delivery rate (free of anomaly flags) combine into a per-rider scorecard, alongside a live view of whose open orders are closest to missing their deliver-by time given their own recent pace. This gives a manager something to coach from in a one-to-one, instead of a raw delivery count that says nothing about quality.
What to check before choosing delivery software
- Is a delivery verified by the recipient, or only self-reported by the rider?
- Is cash-on-delivery tracked against the specific order, or reconciled as one lump sum at day end?
- Are fraud and quality issues — fake GPS, rushed completions, repeat failures — flagged automatically, or only found when a customer complains?
- Does the rider need a separate app, or does this sit inside staff tooling your team already uses?
A delivery operation that can answer all four with "verified, tracked, automatic, and no new app" is running on evidence instead of trust — which is the actual difference between a delivery business that scales and one that spends its growth fighting disputes it cannot settle. See pricing to see how this fits your plan.
