How a Local Mover Cut Estimate Time with Eload

Overview

A mid-sized mover in the GCC struggled with slow onsite estimates, unpredictable quotes, and wasted crew time. After a short pilot with Eload, they transformed their estimate workflow: customers scanned rooms from home, operations received dispatch-ready job cards, and crews arrived prepared — cutting estimate friction and improving day-to-day utilisation.


The problem

  • Onsite estimates drained staff time and limited daily capacity.
  • Many quotes were inaccurate or incomplete, causing follow-up visits.
  • Poor load planning left trucks underutilized and raised per-job costs.
  • Customer disputes over scope or pricing created service overhead.

Why they chose Eload

The company wanted to reduce time spent per estimate without sacrificing accuracy. They needed a solution that:

  • Produced itemized quotes remotely,
  • Generated actionable job cards for dispatch, and
  • Integrated with existing CRM/dispatch systems.

Eload matched those needs: camera-based scans → AI estimation → load optimization → dispatch-ready output.


Implementation (how we rolled it out)

  1. Demo & alignment (Week 0): Short walkthrough with ops and sales teams to map current estimate flow.
  2. 30-day pilot (Week 1–4): Live pilot on selected routes — customers invited to scan during lead capture. Pilot scope: remote quoting + job card delivery. (Pilot length and scope agreed with partner.)
  3. Integration & training (Week 3–5): Quick API/webhook setup to push job cards into the mover’s dispatch system; two 60-minute training sessions for estimators and dispatchers.
  4. Scale (Month 2+): Expand pilot learnings across the fleet and add white-label partner portal for sales staff.

How Eload worked in their workflow

  1. Customer receives a link or opens the app and scans key rooms with phone camera.
  2. Eload’s AI estimates dimensions, volume, and packing needs and generates an itemized quote.
  3. The system creates a dispatch-ready job card (measurements, photos, packing instructions, load plan) and pushes it to dispatch via webhook.
  4. Dispatch assigns crew; the crew receives a clear packing plan and timeline — minimizing on-site surprises.

Results & impact

  • Fewer onsite visits: Most initial house calls were eliminated; many estimates were completed remotely, saving travel time and staff hours.
  • Faster quoting: What once took 30–60 minutes for an onsite estimate became an instant, itemized quote via scan.
  • Improved dispatch accuracy: Crews arrived with exact specs and photos, reducing rework and disputes.
  • Operational speed: Pilot partners reported faster move execution in follow-up measures (pilot result).
  • Pilot scale: The technology was validated in live rollouts across multiple routes during early pilots (pilot result).

“Eload turned guesswork into a job card. Our crews arrive prepared and we spend less time chasing measurements.” — Ops lead, pilot partner (anonymized)

(All outcome claims above are from the partner pilot and labeled accordingly.)


The ROI playbook — how you can replicate it

  1. Pick a low-risk pilot cohort: Start with local, residential moves on non-peak days.
  2. Train a small team: 1–2 dispatchers + 2 estimators can run the pilot and collect feedback.
  3. Use the app for lead capture: Offer remote scanning as a default option when customers request quotes.
  4. Integrate job cards into dispatch: Use Eload webhooks or CSV exports to ensure job cards populate your dispatch system.
  5. Measure baseline KPIs: Track estimate time per job, quote→book conversion, and truck fill rate before and after.
  6. Iterate & scale: Tweak scan guidance, add targeted training, then roll out to more routes.

Lessons learned (practical takeaways)

  • Clear scan guidance (how to angle the phone, light the room) improves first-pass accuracy.
  • Flagging specialty items early reduces day-of surprises.
  • Small integrations (webhooks) deliver large operational wins by removing manual data entry.
  • Communicate the new process to customers to increase scan adoption and reduce no-shows.

How Eload supports long-term adoption

  • White-label partner portals let you offer remote quoting under your brand.
  • APIs & webhooks integrate job cards into existing dispatch and CRM systems.
  • Onboarding & SLA packages ensure your team is trained and supported during rollout.
  • Load optimization helps you convert saved estimate time into higher truck utilization.

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