Supply Chain & Logistics

Supply chain and logistics companies can potentially claim R&D tax relief for a wide range of projects that involve innovative technological or scientific advancements. The key is to demonstrate that the projects address technical challenges and involve uncertainty, leading to the creation or improvement of products, processes, or services.

What Qualifies?

Some examples of projects that could qualify for R&D tax relief in the supply chain and logistics sector:

Automation and Robotics:

Developing and implementing automated systems, robotics, and artificial intelligence (AI) solutions to optimise warehouse operations, order fulfilment, inventory management, and transportation processes.

Route Optimisation and Navigation:

Designing and improving algorithms or software that optimise delivery routes, minimise fuel consumption, reduce transportation costs, and enhance overall efficiency.

Inventory Management Systems:

Creating advanced inventory management systems that employ data analytics, machine learning, or RFID technology to improve accuracy, reduce stockouts, and enhance demand forecasting.

Warehouse Design and Layout:

Innovating warehouse layouts, storage solutions, and picking strategies to maximise space utilisation, streamline operations, and reduce human error.

Supply Chain Visibility Platforms:

Developing software platforms that provide real-time visibility into the entire supply chain, enabling better tracking, monitoring, and decision-making across various stages of the logistics process.

Sustainability Initiatives:

Implementing projects aimed at reducing the environmental impact of logistics operations, such as designing eco-friendly packaging, optimising transportation routes for reduced emissions, or integrating renewable energy solutions into warehouses and distribution centres.


Project Examples


Material Advancements

An automation solution client sought material and mechanical engineering advancements to improve the tensile strength and jointing efficiencies of current conveyor belt product offerings. Through design and material development efforts, the team were able to prove-out the new conveyor belt for cyclic-use across 1,000,000’s of operational runs, and significantly reduced unsatisfactory operation downtime required during conveyor belt maintenance.


Robotics Solution

A robotics solution client sought robotics and manufacturing engineering advancements to develop a semi-automated process workflow, from the ground-up, to improve the efficiency and safety of manual anti-luce fastener manufacturing processes. The team undertook system design, integration, experimental testing and improvement efforts to reduce the change-over rates within the new semi-automated process, from 8 seconds to 3.5 seconds per unit, and facilitate the increased manufacturing flexibility of over 60 different parts.


Process Improvement

A client delivered a continuous improvement project, undertaking a period of research, design, feasibility and experimental testing, to attain several efficiency improvements to conventionally manual pillow manufacturing processes through the development of a new automated system. The team found significant improvement to manufacturing throughput, achieving a ten-fold increase in production rates and improvements to repellent application reliability and repeatability, highlighted by a decrease in defect rates.

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