CASE STUDY · EV DRIVER SERVICES
Taining Life Steward serves new-energy ride-hailing drivers. Charging, overnight parking, and meals share one entry. The system recommends an executable bundle by location and shift window, so drivers spend less time switching apps and detouring.
Science Park station
This stop bundle
60 kW · Occupancy billed after full
01 / Need
Drivers work long hours and stop in many places. Charging, parking, and meals should support the shift. Split across apps, they raise the cost of every stop.
Between jobs · switched 4×
Split entry
Finding a charger, a bay, and a meal each has its own product. Drivers switch tools between jobs and never see what one stop can actually complete.
Without one entry, high-frequency errands never enter one schedule.
Window mismatch
Charge, eat, and park often share the same stop. Without a bundle by location and remaining time, drivers improvise.
The stop window is wasted and the shift rhythm breaks.
Last-minute detour
2.4 km
18 min
Same-station hop
0.6 km
4 min
+1.8 km · +8 min
Detour cost
Piles, bays, and restaurants are not in one view. Filling a charge or finding a space costs extra miles and waiting.
Life errands become operating loss.
Ops break
Offers, membership, redemption, and referral payouts need driver behaviour. A station that only lists shops cannot run as a network.
Aggregation never becomes an operable station ecosystem.
Turn fragmented driver demand into a schedulable service network.
02 / Approach
Drivers should not finish charging, parking, and dining as three chores. The system starts from location and shift time, then produces one executable stop plan.
Scattered planning
One-stop dispatch
The product is dispatch, not three screens stapled into one mini program.
03 / Solution
Drivers discover, bundle, charge, and earn. Merchants set hours, redeem coupons, and settle. Both sides share station and order facts.
Science Park station
125 mWindow 42 min
60 kW · 72%
Growth points
04 / Mirror
If these are live issues, this chain is worth a working session.
Attach nearby services to the same station and recommend a mix against remaining charge time.
The merchant end carries hours, coupon settlement, and trends on the same order chain as driver spend.
Charge spend ¥87.09
+¥16.87 posted
Payouts bind to station spend; growth gifts unlock against points earned from behaviour.
05 / Workflow
Drivers discover, arrive, charge, and grow. Merchants open, redeem, and settle. Both tracks share station inventory.
Phase one ships driver stops and merchant redemption; membership campaigns follow.
06 / Tech
WeChat mini programs serve drivers and merchants. Maps, charge sessions, coupon redemption, and growth accounts land on one backend.
The driver end owns discovery and the charge session. The merchant end owns hours and redemption. Station master data, orders, and incentive accounts are booked in one service.
Keywords
07 / Results
Delivery is a live driver and merchant pair, plus charging, coupons, growth, and referrals. These results are inspectable.
Find a station, read on-site services, navigate, and start charging as one path.
¥10.00 · ORD··26009
Pending and settled records filter by date; trends sit on the merchant home.
Charge spend ¥87.09
+¥16.87 posted
Growth gifts and referral payouts bind to station consumption.
Meals, convenience, and rest rooms hang off station master data for later campaigns.
08 / Industries
If the job is combining several essentials inside a stop window, this chain is a useful template.
Ride-hailing and rental fleets that need charge and rest in one dispatch door.
Charge sites and service areas attaching meals and convenience to arrival.
Station-centred merchant onboarding, redemption, and payouts for a regional ops team.
Next conversation
Agree the phase-one stop chain first: find a station, bundle services, run a charge session, and decide whether merchant redemption ships with it.
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