Rental revenue should be one of the most predictable parts of your business. Yet for companies that manage large fleets of returnable containers—like LPG cylinders, industrial and medical gas cylinders, chemical totes—it’s often one of the hardest to manage proactively.
The problem isn’t a lack of data as most teams are sitting on years of rental, pricing, and billing history. The problem is access: insights are buried in static reports, spreadsheets, or manual exports. By the time patterns emerge, decisions have already been made and revenue opportunities have already slipped by.
This rental insight gap is exactly what TrackAbout’s new AI Chatbot with Advanced Rental Analytics is designed to close.
Traditionally, answering even basic rental questions takes time:
Where did rental revenue change last quarter and why?
Which customers or asset types are underpriced?
What happens if we increase rental rates by 5%?
Which locations or segments are driving or dragging performance?
Getting to those answers often means pulling reports, exporting data, or relying on a small group of experts who know how to navigate the system. The result is slow, reactive decision-making.
The AI Chatbot changes that dynamic by putting a visual, interactive layer directly on top of your TrackAbout rental data. Instead of hunting through reports, teams can explore trends, model scenarios, and ask questions in plain language without leaving the product—allowing for a faster, more intuitive way to work with the data you already trust.
The new experience is built around three outcomes rental-driven businesses care about most:
Instantly see what’s changing across your rental business so issues and opportunities surface early, while there’s still time to act. Instead of discovering revenue shifts weeks or months later in a report, teams can spot emerging trends as they happen and course-correct before small changes turn into lost revenue or customer friction. Interactive dashboards highlight revenue by rental class, asset type, servicing location, and time period. You can drill into outliers, spot shifts early, and understand what’s driving performance before those changes show up on a financial statement.
Rental decisions carry risk, especially in businesses built on long-lived, high-value returnable assets. Rental rates are often applied broadly, but the impact is rarely uniform. A small change can have outsized effects on certain customers, asset classes, or regions, sometimes driving incremental revenue, other times increasing churn, disputes, or idle assets. Without clear visibility into who is affected and how, teams are forced to rely on assumptions rather than evidence. The AI Chatbot makes it possible to test “what-if” scenarios safely. Teams can preview the projected impact of rate adjustments, by percentage or dollar amount, before committing to changes. You can see which customers, asset types, or locations would be most affected, helping you make smarter, more defensible pricing decisions.
The built-in Q&A bar allows users to ask natural-language questions about rental performance and immediately receive visualized results, so answers arrive in seconds, not days. This matters because speed changes who can participate in decision-making: finance, operations, and commercial teams no longer have to wait on reports or specialists, reducing bottlenecks and ensuring decisions are made while they’re still relevant.
The AI Chatbot with Advanced Rental Analytics uses your existing TrackAbout rental billing data, covering the current year plus the two previous full years—the “sweet spot” for identifying trends without overwhelming the system. Data is securely stored and managed, and dashboards update in real time as filters and scenarios change.
The dashboards available today focus on rental summary and rental revenue generation, with more planned for the future, including asset agreements and equipment rental. This is TrackAbout’s first step into advanced visualization and AI-driven analytics, and it’s intentionally focused on an area that directly impacts the bottom line.
For rental-driven organizations, small improvements in visibility and timing can translate into meaningful revenue gains. With better insight, teams can:
Identify underpriced customers or assets earlier
Adjust rates with confidence, backed by data
Understand regional or operational performance differences
Reduce manual reporting effort across finance, operations, and commercial teams
Move from reactive explanations to proactive decisions
Most importantly, rental analytics move from being something you look at after the fact to something you use to shape outcomes.
Access to the AI Chatbot is currently available to TrackAbout customers who subscribe to the Rental Module, with up to four users per organization to start. Feedback is built directly into the experience, allowing users to rate answers and share input that helps refine dashboards and AI responses over time.
This is not a static feature, it’s a foundation; one that will continue to expand as TrackAbout adds more dashboards, deeper analytics, and new ways to surface insight across the platform.
If you want to see how the AI Chatbot with Advanced Rental Analytics works in practice, including live examples of scenario modeling and natural-language questions, watch the full webinar recording.