Transformed Manual and Semi-Digital Moving Operations with AI-Powered Automation

We built an AI-backed operational excellence solution for movers and packers businesses to help them efficiently manage inventory assessment, move estimation, pricing, quoting, billing, scheduling, quality inspection, and more.

Moving business automation software solutions

Client profile

A US-based movers & packers company handling both residential and commercial moving and relocation tasks across multiple states. With a high volume of daily move jobs, the company needed an intelligent way to manage inventory, quotes, dispatch, billing, identify potential damage, and more.

Industry type

Movers & Packers / Relocation Services

Employees

350+

Country

USA

Project overview

As America’s leading professional and reliable moving and relocation company, the client was managing multiple types of moves, including long-distance, local, inter-state, car shipping, snap moving, and more. With a high volume of moving jobs, the company faced friction in estimating, pricing, quoting, billing, and quality processes due to manual calculations and disconnected workflows. Estimators had to assess home size, inventory, distance, labor requirements, packing needs, and vehicle capacity before preparing customer quotes.

SHALIGRAM developed an AI-powered moving operations intelligence platform designed specifically to address the client’s workflow fatigue, fragmented processes, and escalating operational risks. Our unified moving operations intelligence platform uses AI to automate inventory item capacity management & pricing, digital documentation, dispatch, labor management, fleet scheduling, storage and warehousing, damage and claims management, and more.

Overall, the platform automates repetitive tasks, improves operational visibility, and enables faster, data-driven decisions across the moving business.

Client business challenges

The client was struggling to manually analyze inventory, images, and videos; estimate volume and weight; calculate move requirements and distance; provide intelligent pricing recommendations; and optimize dispatch and delivery. It also had issues with invoicing, billing, and quality inspection. Overall, the company was lacking operational visibility.

Time-consuming manual move estimation
Inconsistency in manually prepared inventory assessment
Manual calculations and complex pricing decisions
Quotes & billing with data gathered from isolated systems
Limited Damage Visibility
Increased operational costs

Technology solutions we offered

To keep pace with clients’ workflow demands, meet customer requirements, and scale efficiently, SHALIGRAM offered an AI-driven operational intelligence platform with powerful solutions that addressed every workflow challenge and enabled the company to deliver an unparalleled moving experience.

Moving business automation quality and damage

Moving business automation inventory overview

Moving business automation billings and payments

AI-powered move estimation

We developed an intelligent estimation workflow that eliminates in-home walkthroughs and instantly evaluates item size, move distance, packing material and handling requirements, labor, and other details to calculate the entire operational cost for any specific move.

AI inventory & volume estimation

By combining Computer Vision (CV) and Large Multimodal Models (LMMs), our AI-powered image and video analysis solution helps identify household and commercial items from uploaded inventory media, estimate quantities, categorize items based on whether they are fragile, high-value or so, and provide AI confidence scores. This helps in finalizing the estimate.

AI dynamic pricing

Our intelligent pricing engine helps the client automatically make a valuation based on AI-recommended pricing. The system considers real-time market costings, competitor pricing, inventory volume, fleet requirements, distance, packing material requirements, labor, target margin, and other external signals. Our system also helps the client understand and validate AI-generated prices.

AI-powered quote, invoice & billing

The unified platform developed by SHALIGRAM automatically connects estimates with the quoting and billing workflow. Once an estimate is approved, the system automatically generates a quote that lists all parameters, including the type of move, labor, vehicle charges, packing services, special handling services, discounts, taxes, and total price. Upon mutual agreement, the system generates the invoice and updates the payment status.

AI quality & damage detection

We developed an AI-powered inspection workflow for pre-move inventory and condition scans, in-transit and item-loading analysis with captured photos and videos, item damage, packing issues, and missing or changed items during transit, with captured media, geo-tagged photo evidence, and potential claim evidence. This pre-move and post-move visual comparison supports quality reviews and claims.

Results achieved by the client

Automated move operations

The client gained a centralized AI-powered platform for automatically managing critical moving operations.

Operational efficiency

38% reduction in average time required to prepare move estimates.

Estimation accuracy

94.2% AI-assisted estimation accuracy, helping estimators create more consistent job estimates.

Faster inventory processing

Inventory analysis time reduced by approximately 60% for moves where photos or videos were available.

Pricing performance

AI-assisted pricing helped improve pricing consistency and contributed to an estimated 11.8% improvement in average gross margin.

Faster quote generation

Average quote preparation time reduced by approximately 55% through automated estimate-to-quote workflows.

Billing efficiency

Automated invoice generation and centralized payment tracking reduced manual billing administration by approximately 45%.

Quality management

AI-powered inspection enabled the client to systematically review more than 9,800 move inspections, improving visibility into potential damage and packing issues.

Business scalability

The platform was designed to support multiple locations from a centralized system, enabling complete visibility across 6 US locations and more than 18,000 processed moves.