How tech is reshaping fleet sales: The Drivetime deep dive

The automotive industry is undergoing a profound operational shift. Fleet management now spans multiple stakeholders, vast and fragmented data sets, and customers whose expectations evolve faster than ever. 

In a recent episode of the Drivetime podcast, Lloyd Stretton of ROI Automotive unpacked how technology is fast becoming the sector’s next major competitive frontier. He explained how his team helps OEMs boost fleet sales by attracting new customers and strengthening loyalty among existing ones – all by using data and digital tools more intelligently.  

If you missed the episode, or want to gather a few key takeaways, we’ll unpack the episode’s core themes in this post. We delve into the inherent complexities of fleet management and explain why data standardisation remains critical for leasing companies. We will also examine the transformative potential of artificial intelligence and highlight how specific tools like Fleet Gateway are reshaping the end-to-end service experience for drivers and fleet managers alike. 

The inherent complexity of fleet management 

Selling vehicles to a fleet operates similarly to the retail automotive market, except the challenges are heavily amplified.  

The scale of the transactions and the number of stakeholders involved create a highly complex environment. Unlike a single consumer buying a car, fleet management requires coordination between OEMs, leasing companies, retailers, corporate decision-makers, and the end-user drivers. 

Each stakeholder requires different information at different stages of the procurement and management process. Providing the right information to all these parties at the exact right time is essential for success. When communication breaks down or information is delayed, the entire supply chain suffers. Fleet managers constantly juggle vehicle availability, pricing structures, and maintenance schedules. 

Stretton highlighted that understanding these overlapping needs is the first step toward improving the industry.  

Technology must bridge the gaps between these various parties. By implementing smarter digital infrastructures, automotive companies can ensure that leasing companies receive accurate pricing, retailers know exactly what inventory to prepare, and fleet managers can confidently report back to their corporate boards. 

Why data standardisation is critical 

One of the most pressing challenges is data handling. OEMs generate massive amounts of vehicle data, pricing structures, and specification details. But this information is often fragmented and inconsistent.  

Standardising data from OEMs is crucial for leasing companies that need to quote vehicles quickly and accurately. 

When leasing companies receive non-standardised data, their teams must manually interpret and reformat the information before they can present a quote to a prospective client. This manual intervention slows down the sales cycle and introduces a high risk of human error.  

Stretton provided a stark example of this inefficiency, citing a client who lost 50% of their sales in a single month entirely due to the manual processing of terms. 

Automating these processes saves immense amounts of time and drastically improves overall efficiency. When data flows smoothly and uniformly from the manufacturer to the leasing company, quotes are generated instantly.  

This seamless transfer of information allows sales teams to focus on building relationships and closing deals rather than formatting spreadsheets. Standardised data also ensures that end-users receive accurate specifications, preventing costly misunderstandings upon vehicle delivery. 

Automation and the transformative power of AI 

AI represents a massive leap forward for fleet management systems and fleet operations. Stretton emphasised that AI can model vast data sets and accurately predict outcomes. That means instead of simply reacting to market changes or supply chain disruptions, fleet managers can use AI to forecast vehicle demand, anticipate maintenance needs, and optimise their entire fleet lifecycle. 

Furthermore, AI helps users find essential data much faster. Instead of navigating clunky databases, stakeholders can use intelligent search functions to extract precise vehicle specifications or leasing terms quickly. ROI Automotive is already pushing the boundaries of this technology. Stretton shared details about a current pilot project in Europe that uses AI to gather information directly from OEM websites. This AI-driven tool reads the manufacturer’s data and translates it into multi-channel customer support.  

By turning an OEM data source into a digital asset, companies can easily distribute vital information across various platforms. This approach not only reduces the administrative burden on customer service teams but also ensures that clients receive immediate, accurate answers to their queries. 

Improving the end-to-end service experience 

While data and automation dominate the backend of fleet management systems, the driver’s physical experience remains paramount.  

A major component of this experience is the test drive. Company car drivers need to physically interact with a vehicle before committing to a long-term lease. The test drive provides crucial reassurance regarding comfort, performance, and suitability for their daily operational needs. However, organising these test drives for corporate clients often involves a logistical nightmare of scheduling and vehicle sourcing. 

Technology steps in to simplify this process. By digitising the scheduling and feedback loops, fleet managers can arrange test drives seamlessly. They can track which drivers have tested which vehicles and gather immediate feedback on the models.  

This digital approach ensures that the driver feels valued and supported throughout the entire procurement journey. A positive service experience directly correlates with higher driver satisfaction and better vehicle care down the line. 

Streamlining operations with Fleet Gateway 

To combat the fragmented nature of fleet data, the industry needs unified platforms. The episode highlighted Fleet Gateway as a prime example of how technology can consolidate information effectively. Fleet Gateway provides fleet managers with a single point of access to information from multiple OEMs. 

Instead of logging into half a dozen different manufacturer portals to compare vehicles, fleet managers can view everything they need in one place. Crucially, the platform maintains brand differentiation. OEMs can still present their vehicles with their unique branding and messaging, but the underlying data structure remains consistent for the user. 

Fleet managers highly value consistency, reliability, and time-saving tools. By using a consolidated platform, they eliminate hours of cross-referencing and manual data entry. This streamlined approach allows them to make faster, more informed purchasing decisions. It also simplifies the reporting process, as all vehicle data, pricing, and availability metrics sit within a single, easily accessible dashboard. 

Next steps for fleet innovators 

The Drivetime podcast episode with Lloyd Stretton makes one thing very clear: manual processes in fleet management are no longer viable. Automotive companies, leasing firms, and fleet managers must embrace digital transformation to remain competitive. 

To start improving your own fleet operations, audit your current data workflows. Identify areas where manual data entry slows down your sales or procurement cycles. Look for opportunities to implement standardisation, especially when dealing with multiple OEMs. Explore unified platforms that consolidate information, and begin researching how artificial intelligence can help your team predict demand and automate customer support. 

By taking these steps, you can streamline your operations, reduce lost sales, and deliver a superior experience to your drivers. 

Listen to the full Drivetime podcast with Lloyd Stretton by clicking here, or search ‘Drivetime’ wherever you get your podcasts.