How do I set up auto body repair estimating in my software?

Before you do anything in the software, collect the documents that define how your shop calculates repair costs. This usually includes your paint and material rate sheets, frame time allowances, your preferred parts pricing tables, and any standard operating procedures. When these files are organized, your body shop estimating tools will be built on a foundation that matches the way your team actually works.

The knowledge base is where your estimating intelligence lives. Add your PDFs, spreadsheets, and even web links to manufacturer repair procedures or insurer guidelines. The platform ingests everything and builds a searchable base of facts, so there is no guessing. Once uploaded, the system can pull exact labor times, part numbers, and cost multipliers directly from your own content every time you set up collision repair estimates.

After your data is in place, move to the AI agent. Give it a role that fits your shop, something like “Auto Body Estimator.” Then write instructions that tell it how to use your knowledge base. For example, you can instruct the agent to always ask for the year, make, model, and damaged area before calculating a repair cost calculation. The agent will then retrieve the right labor rates, part prices, and procedure allowances from your uploaded documents, giving you a reliable first-pass estimate that you can verify.

Run several test estimates yourself. Enter a damage scenario you see often, like a rear bumper on a late-model sedan, and review the steps the agent takes. If the agent misses a blended panel time or chooses an aftermarket part when you always use OEM, update your knowledge base or tweak the agent instructions. Because the system is grounded in your data, the path to a better estimate is always to clarify your own content, not to adjust a black-box algorithm.

What information do I need for auto body repair estimates?

You need documents that reflect how your shop prices work: labor rate sheets, paint and material costs, parts pricing lists (new, used, aftermarket), and any insurer guidelines or internal procedures. The more complete and current these files are, the more accurate your software-generated estimates will be. Common file types include PDF price lists, Excel spreadsheets with part numbers, and pages from estimating databases.

How accurate are software-generated repair estimates?

The accuracy depends entirely on the quality and completeness of the data you upload. Because the software answers solely from your own documents, it applies your exact rates and rules to each estimate request. There is no guessing or pulling from public sources. You can expect high consistency on the items you have covered; if a part or operation is missing from your knowledge base, the system will tell you it lacks the data rather than fabricating a number.

Can I customize the estimating process in my software?

Yes. You have full control over the AI agent’s behavior and the content in the knowledge base. You can write custom instructions that dictate which prompts the agent shows, what information it collects before providing a repair cost calculation, and how it presents the estimate. You can also update or add documents any time your shop’s rates or preferred procedures change, and the agent will immediately reflect those adjustments.