How to Reduce Fuel Costs for a Field Sales Team

Fuel Is a Major Cost Line — and Most of It Is Avoidable

Let's put numbers to it. A South African field sales rep driving a typical distribution route covers approximately 2,000-4,000 km per month. At a fuel consumption rate of around 10l/100km for a medium sedan or bakkie, that's 200-400 litres per month. At R23/litre for 95 unleaded inland, that's R4,600-9,200 per rep per month in fuel alone.

For a team of 30 reps, you're looking at R138,000-276,000 per month in fuel costs. That's a significant operational line item — and a large portion of it is reducible through better planning.

The most important word in the previous sentence is "reducible." Not eliminate — field sales requires driving. But a meaningful percentage of kilometres driven is inefficient: zig-zagging across territories, backtracking to the office unnecessarily, visiting customers who weren't expecting you and aren't ready to order, spending extra time stuck in traffic that better scheduling could have avoided.

Smarter routes mean lower fuel bills. Start your 14-day free trial and start optimising your field team's routes today. No credit card required.

Root Cause #1: No Route Optimisation — The Zig-Zag Problem

The most common cause of excessive mileage in field sales is simple: reps choose their own order of visits without any optimisation. Left to their own devices, most reps visit customers in the order they think of them — typically alphabetical, by order of how familiar they are, or just in whatever sequence comes naturally.

The result is a route that visits Customer A in Midrand, then Customer B in Sandton, then Customer C in Midrand again (nearby where A was), then Customer D in Centurion. The "logical" sequence is a zig-zag that covers 60km where an optimised sequence would cover 35km.

Route optimisation software solves this by calculating the shortest path through all the day's stops — the same problem that delivery companies have been solving with logistics software for years. For a rep doing 8 visits per day, the optimised route might save 15-25km compared to their natural sequence. Across 20 working days per month, that's 300-500km saved per rep — approximately R690-1,150 in fuel per rep per month at current prices.

Root Cause #2: Unnecessary Return-to-Office Trips

Some reps have a habit (sometimes a culture) of returning to the office mid-day: to drop off orders, pick up stock, attend to admin, or have lunch. Each trip back to the office from the field costs time and fuel — and interrupts the flow of customer visits.

In a well-designed field operation:

• Orders are submitted electronically from the field (no paper to return)
• Admin is done at the start or end of the day, not mid-route
• Sample collections and delivery pickups are scheduled as stops on the route, not separate trips

Mid-day office returns are often a sign that the rep's workflow still depends on being physically at the office to complete transactions that should be handled digitally.

Root Cause #3: Visiting Closed Customers

A rep arriving at a customer who is closed, unavailable, or not expecting them has wasted both the drive time and a slot in the day's schedule. Common causes:

• Public holidays not accounted for in the route plan
• Customer changed their operating hours and the rep doesn't know
• Rep didn't confirm the visit in advance for key accounts
• Load shedding has closed the customer's premises (more on this below)

Pre-call checks — even a quick message the day before to confirm the visit — dramatically reduce wasted journeys. For A customers in particular, confirming availability before driving across the city is basic risk management.

Root Cause #4: Dead Time Between Appointments

A rep finishes a visit in Roodepoort at 10:30am and has a confirmed appointment in Randburg at 2pm. Three and a half hours of dead time. What happens? Either the rep kills time unproductively (coffee shop, sitting in the car) or drives back to the office — both wasteful.

The solution is opportunistic gap-filling: identifying nearby customers who could be visited in the gap and inserting them into the route. A good route planning tool surfaces nearby customers ranked by priority (last visit date, outstanding quotes, high-value status) so the rep can make a productive call rather than waiting.

Fill dead time with nearby unscheduled visits. Route planning software surfaces priority customers near your rep's current location when a gap opens. Try it free for 14 days and start cutting your team's fuel bill from day one.

Root Cause #5: Wrong Stop Sequencing

Even when a rep is visiting the right customers on a given day, the sequence matters enormously. A route that starts at the geographically furthest customer, works inward, and then has to travel back through already-visited areas to reach the last stop adds unnecessary kilometres.

The optimal sequence for a multi-stop route is a loop or modified travelling-salesman path — starting near the office or home, working through a geographic cluster, and ending close to where the rep finishes for the day. This sounds simple but is surprisingly difficult to calculate manually for 8+ stops with travel time estimates.

The Load Shedding Factor in South African Route Planning

South Africa's ongoing load shedding problem creates a route planning challenge unique to the local context. During Stage 2+ load shedding, traffic light outages in urban areas — particularly in Johannesburg and Pretoria — can add 20-40 minutes to a route that would normally take 90 minutes. Routes that pass through multiple intersections without backup power become significantly slower during shedding windows.

Practical adjustments for load shedding:

• Avoid peak urban routes during likely shedding windows — the Eskom schedule is published, and shedding typically follows predictable area rotations
• Adjust visit timing — if a customer's area sheds between 10am and 12pm, schedule that visit before 9:30am or after 12:30pm
• Build buffer time into routes during active shedding stages — a route planned for Stage 1 conditions will run late under Stage 4

For SA field teams, ignoring load shedding in route planning means routes that are theoretically optimised but practically broken on roughly half of all working days.

Measuring Fuel Efficiency: KPIs That Matter

Before you can improve fuel efficiency, you need to measure it. The primary KPI is cost per customer visit:

Total fuel cost ÷ Total completed visits = Cost per visit

Tracking this by rep reveals which reps are efficient and which are driving excessive distances per visit. Secondary metrics:

• Km per completed visit — how far is the rep driving, on average, to complete each customer call?
• Visits per litre — how many customer visits does each litre of fuel produce?
• Monthly total km vs planned km — are reps driving significantly more than their planned routes suggest?

A rep doing 5,000km/month in a territory that should require 2,500km is either covering a poorly designed territory or making significant unplanned journeys. Both are worth investigating.

The ROI Calculation: What Better Route Planning Is Worth

For a 30-rep team with an average of 3,000 km/month per rep:

• Conservative 15% reduction through route optimisation: saves 450 km/rep/month
• 450 km × 10l/100km × R23/litre: R1,035 savings per rep per month
• 30 reps × R1,035: R31,050/month or R372,600/year in direct fuel savings

This calculation excludes:

• Vehicle wear reduction from fewer kilometres
• Time savings that translate into more customer visits per day
• Reduction in overtime for reps running late routes

For most SA distribution businesses, route optimisation software pays for itself multiple times over in fuel savings alone within the first year.

Practical Steps to Start Reducing Costs Today

Even before implementing software, you can reduce fuel costs with these process changes:

1. Review the highest-mileage reps first — identify who is driving the most and audit their routes
2. Introduce geographic day planning — assign geographic clusters to specific days of the week to eliminate cross-territory daily driving
3. Implement a no-mid-day-office rule — require all admin to be done digitally from the field
4. Build load shedding into route timing — brief reps on planning around the shedding schedule
5. Track mileage against customer visits — make the km-per-visit metric visible to reps so they can self-optimise

Start your 14-day free trial and start building routes that are optimised for South African conditions — load shedding, traffic, and all.