Pain points of transportation scheduling
Traditional manual scheduling can not achieve global optimization. It is difficult to
balance the optimization of multiple objectives such as cost, timeliness and service
- Manual scheduling takes a long time, has long mileage, large scheduling errors in route
planning, and high transportation costs
Few spatial solutions are planned and optimized by human brain, lacking accurate quota and
monitoring data, and cost control is not meticulous
High complexity of distribution scheduling due to the current situation of the industry with
many customers, delivery volume, routes, small batches and multiple batches
In manual dispatching mode, it is difficult to scientifically optimize calculations, and the
only way to meet the distribution demands is to increase the number of vehicles assigned
- Waste of resources and capacity: more planning trips, more occupation of personnel
resources, and low full load rate
Faced with new business launches, carrier changes, driver changes and other problems, human
cannot respond quickly and timely
Scheduling efficiency is significantly reduced, the workload of each adjustment is large,
and the work difficulty of schedulers increases exponentially
At the same time, it affects the efficiency of warehouse sorting operations and driver
loading and unloading efficiency, which are related to the scheduling efficiency
Irrational transportation arrangement
The distribution routes are unreasonable, as they are manually planned based on experience,
which makes it difficult to make timely adjustments to the routes and results in uneven
The distribution load is unbalanced due to changes in urban roads/retail networks/customer
demand/seasonal sales volume, resulting in uneven vehicle loads
The distribution area is unreasonable, as the distribution area and the direct/transit
delivery range are set according to administrative areas, making it difficult to estimate
the overall logistics cost
TOS - Solution to complex problems in scheduling scenarios
Advantages of TOS, Transport Optimization Scheduling System
By comprehensively considering the actual business needs and multi-dimensional constraints of
various industries, planning delivery routes and routes from a global perspective, and balancing
objective output optimization solutions based on advanced algorithms and artificial
intelligence, we can provide overall operational solution proposals based on customer's actual
With high product maturity and strong standardization, it can be efficiently
implemented and launched in about a week. The product is constantly iterated and upgraded.
Drawing on practical experience from various industries, flexible and diverse rule
configurations are extracted to meet the personalized needs of different scenarios
and users, providing a good interactive experience to enhance satisfaction.
Fully considering the actual warehouse, transportation, and operation situations of customers, as
well as business rules that fully respect scheduling and driver experience, after outputting the
optimal solution,manual adjustment functions are reserved to make the optimized
results more executable and implementable.
Three Major Highlights
Flexible rule constraints
The core algorithm contains 20 kinds of multi-dimensional mixed calculations, supports
multi-scene delivery conditions and flexible constraint rules, and can output path and model
recommendations truly applicable to multiple business scenarios and constraints.
Support for multiple freight settlement methods
The system's flexible custom billing methods can achieve advanced knowledge and rapid comparison
of various freight results. It can also be adjusted in real-time according to the transportation
capacity, providing customers with visible cost optimization.
Online scheduling experience
The system can retain and grasp data from various regions or business links, such as information
on related carriers, vehicle resources, driver preferences, fixed routes, etc. This achieves the
online experience of the scheduling personnel, greatly reducing their pressure and improving
1. Powerful operation optimization algorithm, one-click intelligent
One-click intelligent planning: According to different business
scenarios, multiple business optimization objectives can be simultaneously met to
achieve one-click planning and scheduling/ scheduled scheduling/ automatic
carpooling/ route planning and other transportation scheduling plans.
Minute-level recommendation of optimal solutions:The system is
equipped with the independent core operation optimization algorithm of UHAlean,
which has high computing speed. It can complete complex calculations in minutes and
cover various business scenario requirements.
2. All-round data management, scheduling experience going online
Relevant data retention:
By retaining and having insight into information such as enterprise and carrier
information, central scheduling can be achieved, accelerating the online experience
of scheduling personnel and new employee training.
Fixed route maintenance:
Maintenance and setting of fixed rules for client's fixed routes, driver
preferences, and fixed route sequences, recording them as fixed rules.
3. Flexible rule configuration to meet actual business demands
Recommended routes and models:
Based on the actual scenario constraints, different optimization strategies are
configured to reasonably allocate capacity resources and realize the scheduling
requirements under different scenarios.
Road network matrix management:
Configuration of a powerful transport network management system, which obtains
real-time map information such as accurate time/route and provides accurate road
network planning suggestions.
4. Global optimization that balances cost optimization and enterprise
Distribution efficiency improvement:
Precisely assist scheduling personnel and drivers in selecting the optimal vehicle
and route, reducing traditional manual scheduling work from hours to minutes.
Carrier/Driver/Warehouse operation efficiency improvement:
Visual tracking of operational orders, real-time viewing and operation by multiple
role permissions, improving the overall efficiency of the supply chain.