AI Logistics Software for Global Moving Crews: Custom AI Mobile App

Customer Overview

Our client is a global moving and storage company that manages everything from premium moves involving fine art, antiques, and museum collections to regular home and office relocations. They handle both large-scale and specialized moves across the world, often involving complex cross-country logistics. To improve efficiency, they set out to simplify on-the-ground moving operations in the UK, the US, and Europe.

Project Overview

The client was already using a third-party mobile app to help their on-ground teams with routine moving tasks. However, the app didn’t align with the location-specific workflows that varied based on regional culture and customer expectations. It also restricted usage to a single login per job, so even when a large team was assigned, only one member could access the app at a time. These limitations led to delays, errors, and continued reliance on paperwork. Our client’s goal was to equip on-the-ground teams with technology that reduced manual effort while improving accuracy and efficiency.

Challenges

The client’s old mobile app struggled with workflows, offline use, image quality, reporting, and usability, creating a need for a fully customized in-house solution.

• The old mobile app could not support different workflows for premium high-value moves and regular relocations.
• It allowed only a single login per job, which slowed down large teams working simultaneously across different rooms during packing or unpacking.
• Creating detailed item profiles and condition reports was manual, slow, and prone to errors.
• The old app produced poor-quality images, while the client’s standards required high-resolution photos of every item and box. It also couldn’t process large volumes of images quickly.
• Because it lacked offline functionality for critical features, teams were unable to use the old app reliably in areas with low or no connectivity.
• Job completion reviews still relied on paper forms, as the app’s digital version didn’t fit the teams’ workflow.
• The client wanted the new app to provide comprehensive daily reports covering tasks completed, manpower used, client interactions, and job-wise progress so customers and business stakeholders stayed updated.
• They also needed the new app’s design, features, and integrations to remain fully compatible with their existing third-party SAP system for accurate and timely data management.

Solution

Developed an AI-powered Android app with core and advanced features to support different workflows, enable offline use, and automate processes for efficient on-ground moving operations.

• Built an Android app for on-ground teams across different geographies to support their location-specific workflows for both premium high-value moves and regular relocations.
• Enabled role-based access to allow multiple crew members to log in to the same job simultaneously, while supervisors can monitor and approve tasks.
• Automated item profiling and condition reporting using Gen AI. Crew members capture images in the app, Claude 3.5 LLM processes them to generate item titles, descriptions & tags for profiling and condition reports, which are then verified and, if needed, edited by the crew before submission, ensuring accuracy.
• Integrated high-end camera capabilities for capturing high-resolution images and optimized backend processing to resize and handle hundreds of images within minutes.
• Enabled uninterrupted use in low or no-connectivity areas by implementing Realm for offline sync along with auto-save and offline-ready features.
• Utilized QR codes and barcodes with nesting and linking logic to connect items with their boxes and vehicles.
• Customized digital job completion forms to match different workflows and added manager notifications for job completion and feedback reporting.
• Developed tailored reporting to provide both job-specific insights and daily summaries of tasks completed by the on-ground team.
• Devised custom integration solutions using APIs to ensure seamless compatibility with the client’s old, third-party SAP system, enabling accurate and timely data management.

Benefits

The AI logistics software or the AI-powered mobile app we developed for our client’s on-ground moving teams offered the following advantages:

• 80% reduction in item profiling and condition reporting creation time. 60% of manual processes automated, resulting in a 35% increase in efficiency.
• Enabled offline access in low/no connectivity areas, reducing workflow interruptions by 40% and keeping tasks on track.
• Enabled high-resolution image capture and processing of hundreds of photos in minutes, supporting image-driven workflows.
• Digitized job-level and daily summaries improved reporting efficiency by 65%, giving managers timely visibility into ground operations.

Technology

• Flutter
• Realm
• OpenAI
• Claude 3.5
• MongoDB
• Firebase Analytics

Industry

• Logistics