Digital Africa11 min read

Delivery Route Optimisation Automation for a Distributor in Toronto: 2026 Cost

Mohamed Bah·Fondateur, Kolonell
November 4, 2026
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Delivery Route Optimisation Automation for a Distributor in Toronto: 2026 Cost

Delivery Route Optimisation Automation for a Distributor in Toronto: 2026 Cost

Digital Africa

The verdict in three sentences

When a planner builds routes for 25 trucks and 600 deliveries every evening in a spreadsheet and from memory, the distributor pays the difference in fuel, overtime and clients served outside their time window. Automated optimisation costing 6,000,000 to 15,000,000 FCFA (about 9,150 to 22,870 EUR) computes routes that respect delivery windows, truck capacity and traffic, then tracks execution by GPS, with go-live in 2 to 4 months. The realistic target is 12 to 20% fewer kilometres and less fuel.

Why manual planning hits its limits

Whether in Toronto or Abidjan, a dense metro area piles up the constraints that make mental arithmetic impossible beyond a few trucks: congestion on the main arteries at peak hours, districts where delivery points are packed together, receiving hours imposed by supermarkets, and independent shops that close at fixed times. An experienced planner produces decent routes, but rarely optimal ones, and often spends 3 hours every evening building them.

ConstraintManual planningAutomated optimisation
Receiving windowsRemembered, often missedTime window per client built into the calculation
Truck capacityEyeballed, trucks under-loadedWeight, volume and pallet count checked
TrafficPlanner's experienceTravel times per time slot, kept up to date
Last-minute additionsRoute redone by handRecalculated in minutes
Execution trackingCalls to driversGPS position, flagged delays, photo proof of delivery
Planning time3 h per evening30 to 45 min of review

Cost of route optimisation in 2026

The following amounts are 2026 orders of magnitude for a distributor with 15 to 40 vehicles, development and configuration included, quoted in FCFA with EUR equivalents. GPS units and mapping subscriptions are extra.

ScopeContentBudgetTimeline
Basic optimisationOrder import, route calculation, route sheets6,000,000 to 8,000,000 FCFA (9,150 to 12,200 EUR)8 to 10 weeks
+ Driver appSmartphone itinerary, proof of delivery, payment flag8,000,000 to 10,500,000 FCFA (12,200 to 16,000 EUR)10 to 12 weeks
+ Real-time GPS trackingFleet map, delay alerts, SMS to client10,000,000 to 12,500,000 FCFA (15,250 to 19,050 EUR)11 to 14 weeks
Full versionAll of the above + ERP connection, cost-per-route dashboard12,500,000 to 15,000,000 FCFA (19,050 to 22,870 EUR)13 to 16 weeks
Recurring cost (order of magnitude)Per month
GPS unit and SIM card, per truck10,000 to 15,000 FCFA (15 to 23 EUR)
Mapping and routing API50,000 to 150,000 FCFA (76 to 229 EUR)
Platform hosting40,000 to 90,000 FCFA (61 to 137 EUR)
Driver smartphone data plan5,000 to 10,000 FCFA (8 to 15 EUR)

What makes or breaks the project is the quality of client addresses. Many small shops have poorly geocoded addresses or rear delivery entrances: plan 2 to 4 weeks of geolocating delivery points, often done by drivers themselves through the app.

Where the 12 to 20% savings come from

The kilometres saved come from three sources: routes better grouped by zone, fuller trucks, so fewer of them on some days, and staggered departures to avoid traffic peaks. The table shows the effect on a 25-truck fleet.

IndicatorBeforeAfter 6 months (realistic target)
Kilometres per truck per day120 km100 to 105 km
Average load factor68%80 to 85%
Deliveries within window75%90% and above
Trucks used per day2522 to 23 on some days
Driver overtime12 h per truck per month6 to 8 h

Mini case study

Daniel is logistics director of a food distributor in Toronto. His 25 trucks cover about 120 km a day, burn 20 litres per 100 km, and diesel costs about 725 FCFA (1.10 EUR) per litre. Over 26 days a month, the fuel bill reaches about 11,300,000 FCFA (17,230 EUR), or nearly 136,000,000 FCFA (207,000 EUR) a year.

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He chooses the version with driver app and GPS tracking for 11,000,000 FCFA (16,770 EUR), plus about 500,000 FCFA (760 EUR) a month for GPS units, mapping and hosting. A 15% cut in kilometres saves about 20,400,000 FCFA (31,100 EUR) in fuel a year. The planner wins back 2 hours every evening, about 50 hours a month. After 6,000,000 FCFA (9,150 EUR) of annual running costs, the net gain is still about 14,400,000 FCFA (21,950 EUR), and the investment pays back in roughly 9 months, before counting reduced vehicle wear.

FAQ

Does the software account for traffic congestion?

Yes, travel times are computed per time slot from the mapping API's traffic data. Durations observed by GPS then refine the model, usually after 4 to 6 weeks of use.

Will drivers adopt the app?

The app is designed for an entry-level Android smartphone and works offline. Plan half a day of training per group of 8 to 10 drivers.

Can we handle clients who pay on delivery?

Yes, the driver flags cash, card or mobile payment collection in the app. Accounting sees the expected amounts per route at the end of the day.

Do we need to replace our sales management software?

No, orders are imported from the ERP or a daily file. A direct ERP connection is included in the full version from 12,500,000 FCFA (19,050 EUR).

How long before we see savings?

The first optimised routes run from go-live, after 2 to 4 months of project work. The 12 to 20% savings are usually measured over the first 3 months of operation.

Let's scope your project. Send us your number of trucks, delivery volumes and service areas: we will price a scope between 6,000,000 and 15,000,000 FCFA (9,150 to 22,870 EUR) with a go-live plan. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.

Tags:#route optimisation#delivery Toronto#logistics automation#distributor#GPS tracking#2026 cost
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Mohamed Bah

Fondateur, Kolonell

Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.