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Our Data Analytics Consulting Services for Supply Chain and Logistics

We provide a service-led data analytics consulting solution for supply chain companies who want to take control of their data.

This results in:

Improved business performance and understanding

Confident decision-making from reliable data

Turning your supply chain company’s data into insights and actions​

Data Analytics for the Supply Chain

  • To make informed decisions from field operations
  • To forecast and keep track of trends
  • To improve customer delivery and operational efficiency

Benefits of Data Analytics for Supply Chain Companies

With data analytics, companies can achieve greater transparency throughout their supply chain. This includes tracking products from manufacture to delivery in real-time, monitoring supplier performance, and identifying potential bottlenecks or disruptions. Such visibility enables proactive management and quick response to issues.

By analysing data related to procurement, manufacturing, distribution, and inventory management, companies can identify inefficiencies and areas where costs can be reduced without compromising quality or customer satisfaction. For example, optimizing routes for transportation to reduce fuel costs and lead times.

Data analytics can be used to evaluate supplier performance over time, assessing aspects such as reliability, quality, and compliance. This information can be leveraged to negotiate better terms, select the best suppliers, and foster strong, mutually beneficial relationships.

The insights gained from data analytics allow businesses to quickly adapt to market changes, customer preferences, and supply chain disruptions. Companies can swiftly alter their strategies, switch suppliers, or find alternative routes to ensure continuity of supply.

Data analytics enables utility companies to better understand their customers’ preferences and behavior. This allows them to personalize services, provide targeted recommendations, and improve customer satisfaction and retention.

Select Distinct Business Analytics Simplified
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Our experience in the Supply Chain

David Laws has experience working in complex supply chains

David studied Engineering, Science and Technology at Loughborough University and then continued to study and gain vocational consultancy experience at the University of Cambridge on the Advanced Course of Design Manufacture and Management. David’s early career was mainly in Leadership roles in FMCG manufacturing company’s. These roles focussed on days and shift management of teams in the production of food, drink and pharmaceuticals.

These roles involved responsibility for the short term and long term targets and strategy, as well as managing the day to day operation of teams of 30 to 120 staff. This involved interaction across the businesses in order to meet the and develop the departments KPI’s.

During this time David was involved in numerous performance improvement projects. David used his technical and project management skills to drive process improvements in large organisations including Britvic and Kerry Foods. These projects included day to day implementation of continuous improvements methodology’s, as well as major engineering capital projects, labour saving and quality improvements.

Data Experience

David transitioned into data analysis and MI reporting roles. His initial role was supporting the retail and dental departments in 3M with their Excel point of sale (POS) reporting. To improve performance data availability and department performance saw him learn and develop ETL and database software skills. Data was presented in Office 2013 (the prequel to Power BI), allowing details analysis of POS as well as manufactured gate sales.

David has since worked ingesting data, turning this into actional insights and improving business performance. These contract roles have seen him supporting in cross section of industries, including Energy, FinTech and casual dining.

Since moving to Select Distinct in 2022 David has worked with a number of clients across a range of industries.

Why choose Select Distinct as your Data Expert?

We work closely with your team to make sure it all goes smoothly

We take a deep dive in your reporting set up

We provide full strategy and training

Service led business

Mapped out five-step process

Examples of Our Work

Frequently Asked Questions

  • What is data analytics consulting for logistics and supply chain?

    It is a specialised service that helps transport and warehouse firms unify data from Telematics, Warehouse Management Systems (WMS), and ERPs. We help you move beyond basic tracking to create interactive dashboards that monitor carrier performance, fuel efficiency, and real-time inventory flow.

  • Can you help us reduce "dead miles" and transport costs?

    Yes. A primary goal of our data analytics consulting for logistics and supply chain is route and load optimization. By analysing historical delivery data and fuel consumption, we help you identify inefficiencies, reduce empty running, and lower your overall cost-per-mile.

  • We have data locked in legacy WMS or TMS systems; can you access it?

    Absolutely. We follow a "Software Second" philosophy, meaning we don't ask you to replace your existing systems. We specialize in Data Engineering to "unlock" data from legacy transport and warehouse software, bringing it into modern BI tools like Power BI for a single version of the truth.

  • How does data analytics improve warehouse efficiency?

    We help you analyse picking patterns, slotting optimization, and labour productivity. By visualizing your warehouse data, you can identify bottlenecks in the fulfilment process and optimize your floor layout to reduce travel time and improve throughput.

  • Do you provide real-time reporting for our clients?

    Yes. Part of our data analytics consulting for logistics and supply chain involves building external-facing dashboards. This allows you to provide your customers with real-time visibility into their shipments and KPIs, providing a significant competitive advantage and reducing manual status enquiries.