Know what every drop costs, and why some fail.
On-time rate, cost per drop, kilometres per rider and failed-delivery reasons, broken down by hub, area, client and rider. Enough detail to fix the lane that is costing you, not just watch the average.
Last 8 weeks · all hubs
On-time 94.1%₹31.40
cost per drop
9.6 km
per rider per run
3.2%
failed drops
On-time rate by week
Failed-delivery reasons
- Customer not available41%
- Address not found23%
- COD not ready18%
- Refused at door11%
- Rescheduled by customer7%
- Core metrics
- On-time, cost, km, failures
- Slices
- Hub, area, client, rider
- Reports
- Daily and weekly by email
- Exports
- Excel, CSV, API
How it runs
Four stops from start to done.
- 1
Every drop is measured
Planned and actual time, distance, attempts and proof are recorded automatically.
- 2
Costs are added
Rider pay, fuel and vehicle costs turn kilometres into cost per drop.
- 3
Patterns appear
Areas, time slots and clients with late or failed drops stand out.
- 4
You act on it
Change windows, move riders or fix addresses, and see the effect next week.
What is inside Delivery Analytics.
Each part works on its own, and better with the rest of Pinsutra.
On-time rate
Against promised windows, by hub, area, client and time slot.
Cost per drop
Rider cost, fuel and vehicle cost split across delivered orders.
Planned vs actual
Kilometres and minutes planned against what happened on the road.
Failure reasons
Customer unavailable, address issues, COD not ready, by area.
Rider view
Drops, distance and on-time rate per rider, for fair incentives.
Weekly digest
A short report every Monday with what changed and where to look.
110039 Questions it answers
The numbers your Monday review needs.
Most delivery reports stop at totals. Delivery Analytics goes down to the lane and the hour, so the conversation moves from blame to fixes.
- Which areas fail most, and for what reason
- Which time slots run late across hubs
- What a client’s deliveries really cost you
- Which riders carry the heaviest routes
- How many kilometres re-planning saved
- How COD share changes failure rates
? Delivery Analytics
Delivery Analytics, answered
The things operations heads ask us in the first call, answered plainly.
Can we add our own costs?
Yes. Enter rider pay, fuel price and vehicle cost per type, and cost per drop uses your numbers.
Can clients see their own reports?
Yes. Share a client view limited to their orders, or send reports by email on a schedule.
How far back does data go?
From your first delivery on Pinsutra, for as long as your plan keeps it, with exports any time.
Can we pull data into our BI tool?
Yes. Use the API or scheduled CSV exports to bring delivery data into your own dashboards.
Next stops on the route
13:51 Back at the hub
All pins green. Every rider home.
Free drops
500
Your first run · on us
Plan your first 500 drops free.
- Upload your Excel, see routes in minutes
- Every feature on, no card needed
- Your riders install the app in one go