Reporting
Overview
OnWheel supports providing standard types of reports based on the needs of different Partners. Each type of report will provide different metrics and data to help customers track performance and uncover important insights.
Main Dashboard
The overview report provides basic information on the number of successful - failed orders :
- Just select the date range and click the export data button:
Total completed
Stop-points
Total failed
Stop-points
Total completed
Orders
Total Request
- Order completed
completed_order
- Order created
requests
- Order accepted
accepted_order
Orders completed by day - Completed Orders
- Total fee
total_fee
- Total order
total_order
- Total drop-off points
total_dropoff
Acceptance Rate & Fulfillment Rate (%)
Active Driver & Productivity
- Number of active drivers
active_driver
- Driver's average performance
productivity
Acceptance Rate & Fulfillment Rate by Block Hour (%)
Reasons For Cancelling Requests
Order Tracking
Purpose: Helping customers track orders pushed through AhaMove (SaaS and public service)
Report allows searching based on:
- Order creator phone number (
recipient_phone
) - Customer code (ID), internal order tracking code (
tracking_number
), status, driver's phone number - Time period to retrieve (
start_date
/end_date
) - Partner name
- City
Results returned up to the last 3 times. Orders are arrangednumbered in descending chronological order.
Driver's performance
Purpose: Support customers to calculate the Activatd drivers of Partner (only Partners' internal drivers; AhaMove drivers are not included)
Customers can search by :
- Time period to retrieve (
start_date
/end_date
) - Đối tượng : Object: internal driver of Partner
See more details about these two types of reports HERE
In addition, the Onwheel analysis team supports other customized reports for partners such as :
Internal Service Performance
Data updated in real time (NOW)
Driver online online
Driver busy busy
Orders are being assigned assigning
Data displayed by selected time (BY TIMERANGE)
Total number of drop-off points created request
Number of delivered points delivered
Active driver active
Acceptance rate acceptance_rate
Orders created, orders delivered, acceptance rate
- Delivery points created
request_stp
- Delivery points accepted
accepted_stp
- Delivery points completed
completed_stp
- Acceptance rate
acceptance_rate
Number of requests, rate of acceptance , the driver operates according to the time frames
- Total number of requests
total_request
- Number of active drivers
active_driver
- Acceptance rate
acceptance_rate
Acceptance time - Delivery time
- Average time to accept order
accept_time
- Average delivery time when accepting
lead_time
- Average delivery time after accepted
lead_time_after_accept
- Average distance
distance
Cancel reason
Failed delivery reason
Number of active drivers active_driver
And report types related to Delivery rate of points by region / district; Number of trips with under 5 star rating; Delivery rate by branch, …etc
SaaS report
Support SaaS service reports :
- Total number of transactions done
- Number of drivers by region
city_id
(activated
-deactivated
-suspended
) - Number of transactions by user
user_id
Other report
Select the period from the start date
to the end date
, select the day/week/month
view to view the column charts
The data can be viewed in this report :
- Orders are created
count(tracking_number)
- total delivery point. - Orders are accepted
count(min_accept_time)
- total number of delivery points received. - Order has been successfully delivered
count(min_stop_complete_time)
- total number of successful delivery points. - Total distance of orders created sum(distance).
- Average number of orders created avg(distance).
Orders created, accepted and completed
- Orders are created
count(tracking_number)
- Orders are accepted
count(min_accept_time)
- Order has been successfully delivered
count(min_stop_complete_time)
- Rate of orders accepted / created
- Rate of orders successfully delivered / created
Orders created, canceled
- Rate of successful orders for the first time
sum(success_1st_time)/count(tracking_number)
- Time average delivery
extract(epoch from avg(leadtime))/60/60
Number of orders and leadtime correct rate
- Order successfully delivered
count(min_stop_complete_time)
- Order on time
count(case when extract(epoch from (leadtime))/60/60 <= 2 then id end)
- On-time/successful order rate
Orders and leadtime delay rate
- Order successfully delivered
count(min_stop_complete_time)
- Late order
count(case when extract(epoch from (leadtime))/60/60 >2 then id end)
- Rate of orders being late / successfully delivered