Comparing your routing plan versus actual routes taken provides useful data for future use but can also be useful in real time.
Why compare actual vs. planned delivery routes?
The last mile delivery is complex and important to get right. Get a delivery wrong and it impacts the customer experience and loyalty, brand perception, repeat business and company profitability.
Companies invest in software to create optimised delivery route plans, but it only works if the plan is adhered to. However, there are often outside influences that affect the ability to follow the plan and it is important to understand these and how they affect overall fleet and delivery performance.
Deviations from the plan can start before the vehicle even leaves the depot
For fleet operators there are three points to investigate;
Using Descartes’ proven delivery scheduling and route optimisation software, enables a detailed delivery plan to be created that takes into account all the business constraints, order specifics as well as road layout and traffic issues, quickly creating an efficient and cost-effective delivery schedule.
For a number of often genuine reasons planers may make changes to optimised routes, however, there are equally preconceived ideas of how a route should look and changes may be made that are not necessary, impacting the performance and efficiency of the route. Both these types of changes need to be captured and compared against the original plan.
Once the delivery vehicle leaves on the planned route there are a number of reasons for a deviation, the driver may know, or think he knows a better route or there are unexpected events such as a road traffic accident that closes a road. All these deviations need to be captured and compared to the plan.
Vehicles can be tracked using either the driver’s handheld device or the use of installed vehicle telematics devices. Being able to visualise the location of a vehicle in real-time compared and show it compared to their planned route and timetable is useful to highlight delays. Customers can then be kept informed of the location and ETA and proactively informed of any delays or changes to the schedule.
Platforms such as Microsoft PowerBi, are easily integrated with Descartes route planning software and enables fast and detailed comparisons to be carried out that will provide deep insight into plan v. actual performance.
While machine learning can accurately recognise drive-time, stops, time at a stop and spot patterns such as changes to the planned sequence. Recommendations can then be filtered through to improve delivery plans for the future making them more accurate and realistic for drivers.
In the long-term, data of actual versus planned routes can be used to analyse why certain drops always take longer, enabling that to be factored into future deliveries so that delivery plans can be fine-tuned.
Combining the plan versus actual data with information from the proof of delivery solutions adds further detail and accuracy to the analysis.
Accurate data, automatically gathered, enables your transport planner to plan and expedite accurate and robust transport plans with confidence.