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28 Feb 2026 · Move Agent

Revolutionising UK Removals: How Move Agent Is Bridging the Digital Divide with AI

Research

Move Agent, developed by Digital Craft, is setting a new standard for AI-driven operational platforms in the removals and storage sector, pioneering a first-of-its-kind AI agent platform launched in 2026.

ABSTRACT

This technical report outlines the 2025 R&D collaboration between Digital Craft, Innovate UK BridgeAI, and the STFC Hartree® Centre that informed the development of a proof of concept for Move Agent's AI Property Scanner. The research evaluated multiple machine learning approaches to determine the most effective method for interpreting property media and structuring inventory data for removals operations.

The findings demonstrated that optimised Large Language Model configurations could reliably classify rooms and household contents without reliance on extensive dataset retraining. Building on this validation, Digital Craft extended the applied AI framework into conversational lead qualification and broader operational workflows within the Move Agent platform.

This report documents the methodology, validation process, and sector implications of introducing structured, AI-assisted data capture at the earliest stages of the removals enquiry lifecycle.

Move Agent AI research for UK removals operations

Move Agent, designed and developed by Digital Craft, is setting a new standard for AI-driven operational platforms within the removals and storage sector. With strategic support from the Innovate UK BridgeAI programme and the STFC Hartree® Centre in 2025, we are now pioneering a first-of-its-kind AI-Agent Property Scanner and Lead Qualifier in 2026.

The Challenge: A Deepening Digital Divide

The day-to-day management of removals and storage companies in the UK can be incredibly difficult, particularly for small and micro-teams. Being unable to access modern, integrated platforms that provide a competitive advantage often leads to manual errors and lost revenue. While some technology exists to reduce admin workloads and respond to inquiries, it often fails to help owners actually win more jobs directly. The removals sector has historically been underfunded and overlooked by high-level tech development; this, combined with a widespread lack of internal technical AI knowledge, makes the digital divide a deep and complex task to address.

The Approach: Applied AI Research to Commercial Innovation

Through technical collaboration and internal R&D, we evaluated the technical requirements for a sophisticated and scalable AI Property Scanner. To assess feasibility, we tested multiple approaches, ranging from labelled training datasets to iterative optimisation of Large Language Model (LLM) configurations, and compared performance across methods.

The research demonstrated that carefully configured LLM-based approaches, combined with advanced prompt design, delivered superior accuracy for this use case compared to conventional dataset-heavy model retraining. This configuration enables the AI to “scan” property media and automatically classify inventory and volume requirements with greater precision and consistency.

Based on these findings, Digital Craft proceeded to design and develop a proof of concept utilising computer vision and Large Language Models (LLMs). This milestone confirms both the technical viability and scalability of the approach, demonstrating our ability to accurately interpret household and office furniture and contents even at an early stage of development.

Following this validation, Digital Craft developed, in January 2026, the UK’s first dedicated AI-Agent Lead Qualifier built specifically for removals operations.

The Benefits: Operational Impact and Sector Advancement

From Technical Validation to Real-World Workflow Transformation

The primary outcome of the 2025 research collaboration was the validation of an AI-driven approach to automated property interpretation. Through the development and testing of the AI Property Scanner proof of concept, we demonstrated that structured inventory and room classification could be derived reliably from property media using advanced prompt engineering and optimised LLM configurations.

This validation is significant for the removals sector. Accurate inventory interpretation has direct implications for:

  • More consistent volume estimation aligned with vehicle capacity
  • Improved survey preparation
  • Reduced variability between assessors
  • Fewer inaccuracies caused by incomplete or unstructured customer information

By transforming visual property data into structured operational outputs, the research establishes a pathway towards more reliable quoting and better-informed logistical planning.

Extending the Research into Conversational Qualification

Following the conclusion of the BridgeAI programme, Digital Craft established ongoing internal R&D and productisation initiatives focused on advancing applied AI across multiple operational projects. In early 2026, this work led to the development of Move Agent’s AI Lead Qualifier.

This conversational AI agent interacts directly with removals company website visitors, intelligently collecting structured data and qualifying enquiries in real time.

Closing the Gap Between Lead and Conversion

Together, these developments begin to close a long-standing operational gap within the removals industry: the disconnect between initial enquiry, survey preparation, and quoting. By introducing structured data capture at the earliest stages of engagement, small and micro-teams gain access to more consistent information without increasing administrative overhead.

The result is not simply automation, but improved operational clarity, enabling removals businesses to respond faster, reduce double-handling of data, and make more informed decisions from the outset.

The Future: Scaling Intelligence for Every Mover and Beyond

Move Agent’s Development Roadmap

Move Agent’s next phase of development is centred on building a predictive operational layer designed to enhance decision-making across the removals lifecycle. Rather than focusing solely on qualification and classification, the platform is evolving towards structured operational intelligence that informs planning before resources are deployed.

By leveraging structured data captured during enquiry and inventory assessment, Move Agent aims to support smarter vehicle allocation, improved forecasting, and more efficient execution across workflows. Predictive logistics capabilities will use early-stage job data to assist with capacity planning, route optimisation, and load balancing, enabling better preparation before dispatch.

The AI Property Scanner will continue advancing into an AI-assisted surveying layer, capable of generating structured pre-survey summaries, flagging potential risk factors, and supporting surveyors with clearer, data-backed assessments prior to site visits. In parallel, the conversational AI framework will expand to manage more complex, multi-stage enquiries, enabling dynamic quoting logic and integrated scheduling tailored to varied removals requirements.

The overarching objective is to close the digital divide more fully by embedding operational intelligence directly into daily workflows. In doing so, micro-teams and independent operators can gain access to the same level of structured decision support traditionally available only to larger national firms.

Digital Craft: Extending Intelligence Beyond Removals

Beyond the removals sector, Digital Craft is developing a new applied AI framework as a transferable operational infrastructure. Many service-based industries face similar challenges: unstructured enquiries, inconsistent site assessments, fragmented resource planning, and manual workflow coordination.

By refining the predictive and classification capabilities established through Move Agent, Digital Craft aims to extend this intelligence layer into adjacent sectors where site assessment, resource allocation, and structured data capture are critical to operational performance. The long-term vision is not limited to one industry, but to establish a scalable applied AI foundation that supports practical, workflow-level transformation across multiple service environments.

“Small companies don’t lack ambition. They lack access to advanced tools. Inspired by our collaboration with the STFC Hartree® Centre and the Innovate UK BridgeAI programme, we’re embedding applied AI directly into daily operations and working infrastructure.”

— Rosana Fernandez, founder of Move Agent and Digital Craft

About the Partners and Collaborations

About Move Agent by Digital Craft

Move Agent is an all-in-one operational platform designed specifically for the removals and storage industry. Developed and owned by Digital Craft, Move Agent empowers businesses with advanced automation and AI tools to streamline lead management, inventory assessment, and daily operations from enquiries to job completion, bridging the digital divide for small and micro-teams across the UK.

About BridgeAI

Innovate UK BridgeAI is a programme designed to drive the adoption of artificial intelligence and machine learning in sectors with high growth potential. By connecting businesses with AI experts, funding, and training, BridgeAI helps UK organisations harness the power of AI to increase productivity and maintain a competitive edge in the global market.

About the STFC Hartree® Centre

The Science and Technology Facilities Council (STFC) Hartree Centre helps UK businesses and organisations of all sizes to explore and adopt innovative supercomputing, big data analytics, and AI technologies. As part of UK Research and Innovation (UKRI), the Hartree Centre provides the expertise and world-class computing infrastructure needed to solve complex industry challenges and accelerate digital transformation.

Special thanks to AI-Research Scientist Dr. Emma (Milner) Young for her technical insights and commitment to driving meaningful research outcomes during this collaboration.

Intellectual Property & Ownership

The collaboration under the Innovate UK BridgeAI programme was limited to technical research support and validation activities contributing to Digital Craft’s proof-of-concept development of the AI Property Scanner. All intellectual property arising from this work — including but not limited to system architecture, technical frameworks, prompt engineering methodologies, operational logic, workflow integration models, documentation, and commercial implementation strategies — is and remains the sole property of Digital Craft.

This includes subsequent refinements, derivative works, productisation developments, and extensions of the underlying applied AI framework, including the Move Agent AI Lead Qualifier and related operational modules. The Move Agent platform and its AI agents are proprietary technologies developed for exclusive integration within the Move Agent ecosystem and its future commercial applications.

References

  1. Innovate UK BridgeAI Programme

    Innovate UK Business Connect

  2. STFC Hartree Centre

    Science and Technology Facilities Council

  3. Move Agent

    Digital Craft

FAQ

What is the purpose of this Move Agent research paper?

This paper explains how Move Agent is applying AI to two removals-specific problems: qualifying leads more accurately and scanning property media to improve survey preparation and quoting workflows.

Why does this research matter for small removals companies?

Small and micro-teams often rely on manual administration, fragmented tools, and inconsistent lead handling processes. This research focuses on applied AI modules designed to introduce structured data capture, reduce inefficiencies, and improve responsiveness without increasing overhead.

What role did BridgeAI and the STFC Hartree® Centre play?

In 2025, BridgeAI and the STFC Hartree® Centre provided technical research support and evaluation expertise, contributing to the validation and proof-of-concept development of the AI Property Scanner, including experimentation around computer vision and LLM configuration.

Is this research already a finished commercial product?

This paper documents the 2025 research and validation phase. The wider Move Agent platform has been commercially live since February 2026, while the AI modules described here continue to undergo refinement and productisation.