Research & Development

Building the Future of
Collision Repair

We're actively researching and developing intelligent automation solutions for the challenges that slow your shop down every day.

Active Beta
Planned
Research
Active Beta

Invoice Reconciliation

The Problem

Shops manually key invoice data into CCC ONE line by line — costing $300-400 per repair order in labor and errors.

Our Solution

Automated extraction reads invoices from any format, structures every line item, and syncs to CCC ONE with human approval.

Planned

Photo Documentation & Damage Assessment

The Problem

Technicians spend 2-3 hours per job taking, organizing, and uploading photos. Images are mislabeled or missing from estimates.

Our Solution

Computer vision mobile capture that auto-categorizes damage by panel, severity, and type — linking directly to estimate lines.

Planned

Parts Identification & Ordering

The Problem

15-20 minutes per part researching numbers, cross-referencing suppliers, and verifying pricing — multiplied across every job.

Our Solution

Visual parts recognition from photos, cross-referenced with OEM catalogs and aftermarket alternatives, auto-populated into CCC ONE.

Research

Estimate Creation & Approval Workflows

The Problem

Back-and-forth with adjusters takes 3-5 days per claim. Supplements are frequently rejected for avoidable reasons.

Our Solution

An estimate optimizer that pre-validates against insurer guidelines and provides approval probability scoring to reduce cycle time.

Research

Customer Communication Automation

The Problem

30+ minutes per day per job updating customers manually — pulling staff away from productive work.

Our Solution

Automated progress updates with photos, intelligent question handling, and pickup scheduling — all without manual effort.

Research

Workflow & Scheduling Optimization

The Problem

Manual scheduling leads to inefficient bay utilization. Shops can't see bottlenecks until they've already caused delays.

Our Solution

AI production scheduler that optimizes job sequencing based on parts, skills, and capacity — predicting bottlenecks before they happen.

Have a workflow challenge we should tackle?

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