Capacity management is planning and managing delivery resources to ensure every order is completed on time without overloading riders or vehicles
Effective capacity management ensures vehicle and delivery staff are utilised to their fullest potential. It also helps logistics businesses maintain service quality even during periods of high demand.
Last mile delivery is unpredictable. Order volumes, traffic, and customer availability can change throughout the day. Without proper capacity management, businesses struggle with the following issues:
Sometimes vehicles operate half-empty while on other days, they are overloaded. This can reduce vehicle lifespan over time.
Some riders get assigned too many stops during peak times. This leads to burnout and rushed deliveries. Some riders end up idling, which negatively impacts the business.
Missed or delayed deliveries happen when routes are planned unrealistically without factoring all necessary conditions.
The result? Higher operational costs, poor customer satisfaction, and eventually a decline in profits. So, capacity management remains a critical aspect of logistics operations.
There are 4 main types of capacity management covering different components of the delivery process like vehicles, riders, routes, and time windows.
This is how much volume or weight a vehicle can carry per delivery. It affects how many orders fit on one route.
This covers rider shifts, workload, and a realistic order count per trip. It helps prevent rider fatigue and improve productivity.
This is how many stops one route can handle based on distance, traffic, and delivery density.
This is how many deliveries can happen within a customer’s requested slot. It matters most during peak hours.
Together, these help businesses optimise delivery operations and improve rider utilisation.
Businesses use strategies like dynamic routing, demand forecasting, and load optimisation to improve delivery capacity.
This adjusts routes in real time. It reacts to changing customer preferences, rider availability, order volume, traffic, etc.
This makes sure each vehicle carries an adequate load. It shouldn’t be overloaded or half-filled.
This uses historical data to predict order spikes. It helps plan staffing and vehicles ahead of time.
This shifts orders between riders or vehicles when delays or cancellations disrupt delivery schedules.
TrackoMile helps businesses manage delivery capacity from a single platform. It supports dynamic dispatcher, intelligent scheduling, and automated trip creation. It matches order volume to vehicle capacity automatically.
TrackoMile’s rule-based route optimisation builds the most efficient routes for riders based on rider availability, distance, and vehicle capacity. Riders are dispatched and monitored smartly, not on guesswork.
Managers also get real-time visibility into their last mile delivery operations. They can easily identify overloaded routes, reassign orders, and respond quickly to changing demand.