What the Numbers Say: Vero's First Look at AR Collections Patterns

One of the things that makes the heavy equipment repair industry interesting from a data perspective is that it sits at the intersection of two very different economic rhythms. The work itself is driven by construction cycles, equipment utilization rates, and the unpredictable timing of mechanical failures. The payment side of the business is driven by the cash flow realities of the contractors and fleet operators who are the customers — and those realities are shaped by their own billing cycles, their own receivables from project owners, and the seasonal patterns of the construction market.

This mismatch between when the work happens and when the money arrives is the fundamental challenge of accounts receivable management in this industry. Understanding the patterns in that mismatch — where it is worst, what drives it, and what the shops that manage it best are doing differently — is the kind of insight that data can provide.

The Baseline: What Does 'Normal' Look Like?

Across the heavy equipment repair shops in the Talox network, the median days-to-payment on commercial repair orders is 34 days. That number masks significant variation: the top quartile of shops — the ones with the most effective AR processes — collect in a median of 19 days. The bottom quartile takes 58 days or more.

The difference between 19 days and 58 days is not primarily a function of customer quality. The same contractors who pay one shop in 19 days are paying another shop in 58 days. The difference is in the process. Shops that invoice promptly, follow up systematically, and make it easy for customers to pay electronically collect faster — not because their customers are better, but because they have removed the friction from the payment process.

The Invoice Timing Effect

One of the clearest patterns in the data is the relationship between invoice timing and days-to-payment. Repair orders that are invoiced within 24 hours of job completion are paid, on average, 11 days faster than repair orders that are invoiced 48 to 72 hours after completion. Repair orders that are invoiced more than a week after completion — a situation that is more common than you might expect in shops without automated invoicing — take significantly longer to collect.

The mechanism here is straightforward. A customer who receives an invoice while the repair is still fresh in their memory is more likely to process it promptly. A customer who receives an invoice two weeks later may have already moved on mentally, may have questions about the charges that require a conversation, or may simply have a different cash flow situation than they did when the work was done.

The Aging Bucket Cliff

Another consistent pattern is what might be called the aging bucket cliff. The probability of collecting a commercial repair order in full drops significantly once it crosses the 60-day threshold. Repair orders in the 0-30 day bucket collect at a rate of approximately 97 percent. In the 31-60 day bucket, that rate drops to about 91 percent. In the 61-90 day bucket, it falls to 78 percent. Beyond 90 days, collection rates drop below 60 percent.

This pattern has a direct implication for collections strategy: the most valuable time to follow up on an outstanding invoice is in the 30-45 day window, before the account crosses into the territory where collection becomes significantly harder. A systematic reminder at 30 days — a phone call, not just an email — is the single most effective intervention in the AR process.

What the Best Shops Do Differently

The shops in the top quartile for AR performance share several practices. They invoice within 24 hours of job completion, consistently. They have a defined follow-up process that triggers automatically at 30, 45, and 60 days. They offer multiple payment methods, including ACH and credit card. And they have a clear escalation path for accounts that reach 90 days — whether that is a collections call from the owner, a formal demand letter, or referral to a collections service.

What they do not do is wait. The shops that struggle with AR are often the ones that are uncomfortable with the collections conversation — that let invoices age because they do not want to damage the customer relationship by asking for payment. The irony is that the opposite is true: a customer who is allowed to accumulate a large outstanding balance is a customer who is more likely to become a collections problem, not less.

The Seasonal Dimension

AR performance in the heavy equipment repair market has a seasonal component that is worth understanding. The late fall and early winter period — October through December — is consistently the most challenging time for collections. Contractors are closing out project budgets, cash flow is tighter as construction activity slows, and the holidays create delays in payment processing.

Shops that know this pattern can prepare for it: building up cash reserves in the summer months, being more aggressive about collections in September and October before the seasonal slowdown hits, and being more patient with customers who have strong payment histories but are experiencing the predictable seasonal cash flow squeeze.

The Bigger Picture

AR management is not the most glamorous part of running a heavy equipment repair shop. But it is one of the highest-leverage activities available to a shop owner. The difference between collecting in 19 days and collecting in 58 days, on a shop doing $2 million in annual revenue, is approximately $215,000 in average cash on hand at any given time. That is the difference between a shop that can make payroll comfortably and invest in equipment, and a shop that is perpetually managing cash flow anxiety.

The data makes this clear. The process makes it achievable.