Business
Scenarios

City
distribution

  • To B & To C
  • Traditional supply chain & cold chain
  • Urban & rural logistics

Main-Line transportation

  • Short-distance & long-distance
  • FTL, LTL, Drop-and-hook
  • Multimodal transport

Client
visits

  • Sales visits
  • Door-to-door service
  • Equipment inspection
Our
Customers

Industry

  • Retail
  • Logistics
  • Manufacturing
  • Services…

Supplier

  • Third Party Logistics
  • Logistics transportation platform
  • Integrated logistics company

Goods Owner

  • Brand Owner
  • Dealer
  • Supermarket

Manual scheduling

  • High labor cost
  • Low efficiency
  • Low vehicle loading rate
  • High transportation cost
  • Non-transparent scheduling information

Intelligent scheduling

  • Labor cost reduces by25%
  • Work time reduces by80%
  • Vehicle loading rate increases by15%
  • Vehicle cost reduces by15%
  • Transparent scheduling
  • Order management

    One-click order uploadsManual adjustment

  • Capacity management

    Vehicle model maintenanceCarrier resources maintenanceWork calendar maintenance

  • Dispatch management

    Dispatch optimizationPath optimizationParameter configuration

  • Route management

    Route visualizationFixed routeRoute adjustment

Quick output

  • Solution available in minutes
  • One click to calculate

Applicable to
multiple scenarios

  • Multiple delivery
  • Single-point collection and multiple-point delivery
  • Multiple-point collection and multiple-point delivery

Intelligent route matching

  • Consider height, width, and weight limit
  • Consider road restrictions and real-time traffic
  • Output distance matrix of different vehicle models

Flexible parameter
configuration

  • Customized parameters and optimization strategies
  • Flexible adaptability to business changes

Experience improvement of transportation efficiency now with our trial version!

API versionStandard versionCustomized version

Contact us

Our Customers

Leading food company
customer visit management

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50%

Increase in customer visits

< 1 minute

Optimization computing time for hundreds of visit

100%

Visit plan completion

72%

Percentage of effective

visit time

throughout the day

Design the optimal monthly customer visit plan for salespersons based on customer address information, visit time window, customer service level, salesperson change, work calendar, traffic conditions, etc.; adjust plans according to real-time situations to achieve a balanced and flexible task allocation as well as efficient and profitable visits.

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Top beer company intra-city delivery

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50-70%

Scheduling time

reduction

5-10%

Average

vehicle saving

7%

Average

mileage saving

10%

Largest increase in

number of store

visits per single vehicle

We provide order allocation according to customer priority, considering loading/ unloading time of warehouses and distributor. Then, we design variable time budget coefficients through machine learning based on historical data, and continuously optimize the initial results.

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Top furniture company
intra-city delivery

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25%

Average drop

in vehicle cost

6%

Average drop in

kilometers traveled

30%

Increase in time window

satisfaction rate

15 minutes

Daily scheduling

time drops

from 3 hours to

We provide customized and dynamic daily distribution plans considering vehicle restrictions, delivery time windows, different customer work calendars, complexity and variability in furniture installation services, as well as variations in staff members’ service capabilities and efficiency.

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Large-scale
cold chain catering distribution

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95%+

Fluctuations in daily

arrival time to stores

5.8%

Average number of

vehicle used per day

7%

Average mileage saving

30 minutes

Daily scheduling time drops from 4 hours to

We provide planning of optimal delivery routes multiple times per day, considering complex traffic situations in Beijing, vehicle restrictions, strict loading and unloading time windows, vehicle types constraints, different store time windows, etc.

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Top logistics company
customers delivery scenario

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Second-level

High-frequency

real-time scheduling

90.3%

Usage rate

16%

Average

mileage saving

11%

Average driving

time saving

We solve for the optimal delivery path for vehicles which supports large-scale real-time concurrent computing, considering weather, road conditions, and time window constraints, customer/order priority and complaints.

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FTL logistics company
real-time dispatch system

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2%

Empty-loaded

rate decrease

10 million-level

Profit increase

10%

Average increase

in number of daily

completed order

60%

Route bid

winning rate increases

from 10% to

Optimize cost per kilometer, order coverage, empty-loaded rate; consider the minimum effective mileage of each vehicle, and loading/ unloading time; output short-distance daily dispatch vehicle waybill; used for daily dispatch and setup of bidding quotations; increase vehicles utilization.

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