Titan Cloud argues for connecting forecourt maintenance to store profitability

This article draws on a Titan Cloud presentation. Its operational examples and product claims reflect the vendor’s account and should not be read as findings from a representative industry survey. David Cornish, identified in the presentation as a maintenance and EV solutions consultant at Titan Cloud, argues that convenience-store equipment deserves attention alongside fuel systems. His examples include chillers, coffee machines, foodservice equipment, payment terminals and EV chargers. The presentation frames maintenance as a contributor to site profitability rather than only a facilities cost.

The scale of the shift shows up in the asset count. A typical site can carry more than 20 critical nonfuel assets, and a full-service location may have ten times that many pieces of equipment needing some form of management or maintenance. Multiply that across a 100 or 500 site network and the complexity compounds fast. EV charging adds another layer. It stretches a five-minute stop into a fifteen to thirty-minute dwell, and Cornish cited a figure of roughly nine in ten EV drivers buying something while they wait. That upside only shows up if the store and its equipment are ready when the customer walks in. An unreliable charger does the opposite, damaging the brand and now drawing regulatory attention through reliability rules such as the UK's public charge point regulations.

Where the work orders are going

Customer data Titan Cloud shared illustrates how far maintenance activity has migrated away from the forecourt's traditional core. Reactive maintenance records from one UK retailer showed fuel systems accounting for 12.5 percent of work orders in 2025, down from around 25 percent only a few years earlier. The raw number of fuel-system jobs stayed roughly flat; everything else grew around it. Cornish said the pattern holds across the company's customer base. Pumps and tanks remain safety-critical, but day-to-day volume is now driven by grab-and-go equipment, coffee machines, chillers, HVAC, car washes, digital signage and chargers, each with its own vendors, warranties and failure modes.

Much of that diversity is still managed through email, phone calls and spreadsheets, and the webinar's live polls reflected it. The most common headache attendees named was having no visibility into what is happening across their sites. A second poll found operators split between a fully centralized system and a mix of systems that do not talk to each other, a setup that leaves warranty knowledge with the appointed maintenance provider rather than the operator. Titan Cloud estimates that operators who do not accurately track and act on warranty data spend more than 3,300 US dollars, or roughly 2,500 pounds, per site per year on repairs that should have been covered.

Measuring contractors on outcomes, not response

Connecting maintenance data changes what an operator can demand of its vendors. Cornish argued that first-time fix, not speed to site, is the metric that matters when a revenue-generating asset goes down. Service level agreements can be defined in advance by job type, asset category, geography and criticality, so when a fault is logged the system already knows who should respond and by when. Response time, total cost of resolution, SLA adherence and repeat visits can then be compared across contractors, and that performance record can steer where the next work order goes.

From closing tickets to planning capital

The longer-term payoff is in repair, replace or retire decisions. Without a consolidated history, an operator judging a repair quote may not realise it has already spent thousands on the same asset over the last two years. When every work order, cause, remedy, cost and downtime interval accrues against a specific asset at a specific site, the decision point becomes visible: infrequent, low-cost failures on a newer unit justify repair, escalating repeat failures signal replacement, and a category that no longer earns its footprint can be retired deliberately rather than after an emergency. As Cornish put it while walking through a dispenser workflow, the aim is not simply to close a ticket but to build the maintenance history of that dispenser. Titan Cloud says it runs this model across more than 40,000 locations in over 45 countries. For operators whose profit now depends on a store full of equipment staying live, that history is the difference between reacting to failures and budgeting ahead of them.