AI for moving and storage companies. Faster estimates and fuller trucks.

At a glance

• Who it's for: owners, franchisors and multi-unit operators of residential and commercial moving and storage companies with $10M+ in system or company revenue.
• What Modern Thesis does: AI strategy, change management, implementation and ongoing stewardship, from one team.
• How it starts: a strategic assessment that measures how the work moves today and ranks where AI pays first. See the assessment.
• Where: based in the Denver area, with an office at 11001 W 120th Ave, Ste 400, Broomfield, CO 80021. On site across the Denver metro and Colorado, and remote anywhere in the US.
• What it doesn't do: replace your moving software, give regulatory advice on interstate moves, or publish a rate card. Each engagement is priced to its scope after a first conversation.

What makes AI different for a moving company?

Moving is a seasonal, lead-driven business. Customers contact several movers at once and book the one that gives a clear estimate first. Estimates depend on an accurate inventory, which takes a site visit or video survey. In summer, every crew and truck is booked and the schedule shifts daily. After the move, claims for damage or loss need careful records. Interstate moves also carry federal rules on estimates and paperwork. AI speeds up the lead, estimate and scheduling work, and your team stays responsible for compliance.

Where does AI help moving and storage companies?

These are examples of what can be built, not past results:

• Answer move inquiries by phone, text and web at any hour, gather move details and book a survey.
• Turn video surveys and customer inventory lists into a draft inventory and estimate for an estimator to review.
• Schedule crews and trucks against booked moves, travel and crew size, and rework the plan when jobs run long.
• Send customers confirmations, preparation checklists and arrival updates.
• Organize damage claims with the inventory, photos and crew notes, and draft responses for the claims lead.

How does AI help with estimates?

By taking the first pass at the inventory. From a video survey or the customer's list, AI can draft room-by-room inventory and weight or volume estimates. An estimator reviews and corrects it before anything goes to the customer. That gets estimates out the same day, which is often when the job is won.

What does Modern Thesis do here?

Modern Thesis covers four disciplines with one team. In strategy, Jim Coleman and the team map how the work moves through your company today. In people, we work with sales staff, estimators, dispatchers and crew leads on training and incentives, so they use what gets built. In implementation, our AI specialists and Forward Deployed Engineers build the workflows and connect them to the software you already run. In stewardship, we stay to check accuracy, keep pace with new AI models and report the return against the baseline.

How does an engagement start?

Every engagement starts with a strategic assessment. We sit with the people who do the work, map how it moves through the company today, and measure a baseline on the workflows that matter most: lead response time, days from inquiry to estimate, booking rate, revenue per truck day and claims per hundred moves. Then we rank the opportunities by return and define the first build. If AI won't pay for itself somewhere in your business, we'll tell you.

When is something else the better choice?

If your moving software already handles leads, surveys and dispatch the way you need, use it fully first. If the main need is better writing and email, the ChatGPT or Copilot licenses you already pay for may be enough; our comparison of Copilot or ChatGPT and an AI partner walks through the difference.

How Modern Thesis handles this

We put AI to work inside xFusion, the 70-person company Jim co-founded, and then for several of its clients. For a moving company, we usually start with lead response and estimates, because the first clear estimate usually wins the job. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.