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Transportation planning

Multi depot distribution planning: deciding which depot serves which customer

It is Monday, 6:40 a.m. A planner at a regional food distributor with four depots opens the order list. Customers are split by postcode, the way they have been for years. By 7:15 she can see that depot B has more stops than its drivers can legally cover, while depot C has vehicles that will leave half empty. She moves a handful of customers by hand and knows that every change shifts a dozen others. 

Each of those decisions turns into miles. The average cost to operate a truck in the US reached $2.336 per mile in 2025, 3.4 percent higher than the year before, according to the American Transportation Research Institute (ATRI). The depot a stop starts from decides how many of those miles a plan carries before the first wheel turns. 

This page explains how multi depot distribution planning works, why the obvious rules for assigning customers to depots fall short, and how teams plan the whole network as one system. 

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What is multi depot distribution planning? 

Multi depot distribution planning is the process of deciding which depot serves which customers, orders and delivery days, and how vehicles, drivers and workload are shared across depots, so that the network as a whole meets service levels at the lowest total cost. 

A business with one depot has one starting point for every route. A business with several has an extra layer of decisions that sits before any route is built. Get that layer right and every depot starts its day with a plan that fits. Get it wrong and good routing inside each depot cannot repair it. 

Aspect

Single depot planning

Multi depot planning 

Core questionWhich stops go on which route?Which depot should each stop start from, and then which route?
ResourcesOne depot's vehicles and driversVehicles, drivers and dock capacity shared across depots, with overflow rules
Typical failureInefficient routersOne depot overloaded, another with idle vehicles, routes from different depots crossing the same streets
HorizonDailyDaily, seasonal and strategic

This page covers the decisions that come before routing: which depot serves which customer and how workload is shared. How routes are then computed across many depots and large order volumes is a separate question, which we answer iin multi depot routing at scale.

Why the nearest depot is a poor default 

Assigning each customer to the nearest depot, or to a fixed postcode territory, is easy to explain and easy to run. It also ignores most of what makes a delivery day work. Distance is only one input, and often not the deciding one. Here are five things distance does not tell you: 

Loaded truck

Capacity

Docks, hours and staff run out. A nearby customer at a full depot creates late departures

Faster planning

Time

Drive time changes by the hour. Closer on the map does not mean faster on the road.

EV vans mixed fleet

Fleet fit

Fleets differ by depot. The best depot is the one with the right vehicle available at the right time

Cost savings

Cost

Labor and vehicle costs vary by site. The cheapest network plan is rarely the shortest one

Unbalanced scale

Balance

One overloaded depot delays customers, drivers and tomorrow’s plan

So, which depot should serve which delivery area? The constraints answer that first. Depot capacity, delivery time windows, available vehicles and driver hours rule some options out before cost comes into it. Among the options that remain, the lowest total cost across the whole network wins, which can differ from the shortest distance for any single stop. 

Assign first, route later: where multi depot plans lose money 

Most teams plan in two steps. First, orders are assigned to depots using a rule such as nearest depot, postcode or fixed territory. Second, routes are optimized inside each depot. Each step looks reasonable. Together they lock in a structure before routes are ever considered. 

Picture a customer assigned to depot A by territory. A route from depot B already passes that customer's door and has room on the truck. The planner at depot A cannot see this, because the decision was made upstream and each depot optimizes only what it was given. 

Integrated planning removes that gap. Assigning orders to depots and building routes are solved together, against vehicle capacities, delivery windows and depot capacities, in a single plan. This is how PTV OptiFlow works: it simultaneously optimizes depot assignments and delivery routes. Planners spend less time on planning and make fewer errors, drivers get shorter travel times and lower fuel use, and depots make better use of their resources.  

To know more about how PTV OptiFlow assigns deliveries to depots and optimizes routes in a single step, see integrated depot and route optimization with PTV OptiFlow. 

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Four decisions every multi depot network has to make 

  1. Depot allocation: which depot serves which customer: This is the core assignment. Good allocation considers every order, every depot's capacity and the real drive times between them, then chooses the combination with the lowest total cost that still honors service promises. 
  2. Workload balance: how work is shared: Balance means agreeing in advance how depots help each other. Which depot can take overflow? Can a vehicle from one depot finish a route near another? Without rules, planners improvise, and improvised sharing rarely survives a busy week. 
  3. Daily change: what happens when volumes move: Volumes shift with promotions, weather, peak season and late orders. A fixed territory list reflects last year's average day. Plans that can be re-run when volumes change keep the network in balance without a manual reshuffle. 
  4. Network fit: whether the depots themselves are right: Sometimes the answer to a daily problem sits in the structure. A depot may be in the wrong place, serve too wide an area, or a new site could change distribution network optimization across the board. Distribution network design and logistics network design answer these questions at the strategic level. They work best when tested against real order data and not against averages. 

To know more about how network design, capacity balancing and daily execution each call for a different kind of planning, see transportation planning for freight and delivery networks. 

Are your depots in the right places?

Compare depot locations and service areas on your real order data before you commit to a change. 

Explore network design 

Testing network changes before you commit 

Consider a vice president of operations weighing a fifth depot ahead of next year's peak. Questions like this often go to a separate analysis project, and by the time results arrive, the volume forecast has moved. 

PTV Mira lets planners and leaders ask in plain language: "Which depot option performs best, and why?" PTV Mira turns the question into real optimization runs, compares the scenarios and explains the trade-offs. It supports decisions, and people approve every action. The result is a side by side comparison of each depot option, with the reasoning behind it, ready for the people who make the call.  

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Building depot planning into the systems you already run 

PTV Developer is a modular API platform built on more than 40 years of routing and optimization expertise. Its Route Optimization APIs support multi depot networks and can be embedded directly into your TMS, ERP, WMS or custom applications. Orders flow in, an optimized plan flows back, and planners stay in the tools they know. 

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Signs your depot assignment needs a second look 

  • Customers are assigned to depots by postcode or territory lists that have not been reviewed in a year. 
  • Planners regularly move orders between depots by hand. 
  • One depot works overtime while another has idle vehicles on the same day. 
  • Peak season arrives and nobody can say which depot should absorb the extra volume. 
  • Opening, closing or merging a depot is discussed without a side-by-side comparison of scenarios. 
  • Routes from different depots cross the same streets. 

Where to start 

  1. Baseline your current rules: Write down how orders are assigned to depots today, and note each depot's capacity, cost and service level. 
  2. Gather clean inputs: Order locations and sizes, delivery windows, depot capacities, vehicle types and driver rules. Accurate addresses matter more than most teams expect. 
  3. Compare scenarios on a real week: Run your current assignment rule and an integrated plan side by side on the same orders, and look at miles, vehicle use and depot balance. 
  4. Decide with planners in the room, then pilot: Start with one region, learn, and extend. 

Plan your depots as one network 

See what an integrated plan could change in your network, from a first scenario to the systems that run it. 

Talk to a logistics expert 

Frequently asked questions

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What is multi depot distribution planning?

Multi depot distribution planning is the process of deciding which depot serves which customers, orders and delivery days, and how vehicles, drivers and workload are shared across depots, so that the network as a whole meets service levels at the lowest total cost. It happens before routes are built and shapes how good they can be. 

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How do you decide which depot should serve which delivery area?

Start with the constraints that rule options in or out, then compare the rest on total cost. Depot capacity, delivery windows, vehicle availability, driver hours and drive times at the actual time of day come first. Fixed territories are a useful starting point to test against alternatives. Optimization software can evaluate depot assignment and routes together and show the best combination. 

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Is multi depot distribution planning the same as multi depot routing? 

No. Planning decides which depot serves which orders and how workload is shared. Routing builds the stop sequences for each vehicle. They influence each other, which is why solving them together avoids locking in an assignment before the routes are known.  

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Should I switch from single depot to multi depot logistics? 

It depends on whether shorter distances and better delivery windows outweigh the added sites, staff and complexity. More depots usually reduce distance to customers, but they also add fixed cost and make planning harder. Model both options on your real order data before deciding. A scenario tool such as PTV Mira can compare them and explain the trade-offs. 

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How do I rebalance depot workload when volumes change daily or seasonally? 

Agree overflow rules in advance, then re-run the assignment whenever volumes move. Integrated planning assigns orders to the most suitable vehicles and depots automatically, within each depot's capacity, so workload shifts across the network without a manual reshuffle. For peak season, run the scenarios weeks ahead to see which depot should absorb the extra volume. 

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What data do I need to plan across multiple depots? 

You need order locations and sizes, delivery time windows, depot locations and capacities, vehicle types and availability, driver rules and cost per depot. Accurate addresses matter because small location errors change which depot looks best for a customer. 

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Which AI assistant can simulate depot and network scenarios through natural language questions? 

PTV Mira is a conversational logistics intelligence agent that turns plain language questions into real optimization runs, compares the scenarios and explains the results. It comes in two variants. PTV Mira Assistant supports planners and supply chain professionals who work with operational data every day, for questions such as what happens to each depot if volume increases next Monday, or why a particular order is unplanned. PTV Mira Consultant supports executives, managers and decision makers with strategic scenario comparisons, such as which depot option performs best and why. 

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Can multi depot planning connect to our TMS, ERP or WMS? 

Yes. PTV Developer integrates with TMS, ERP, WMS, telematics systems and custom applications, and its Route Optimization APIs support multi depot networks. Planning inputs and results can stay inside the systems your team already uses.