Supply Chain, Analytics, Seaforth, Glasgow
  1. Master Data Management
    Typical MRO processes will generate 8% to 20% duplicate items. Our process of Master Data Management Identifies duplicates and obsolete items resulting in average inventory reduction 8% to 12% in value a significant reduction in inventory holding costs. This results in improved assest utilisation, false stock outs and improved strategic purchasing. Standardized naming convention and improved
  2. Spend Analytics
    Using state of the art Analytics tools, we are able to map supplier spend information and link it to an interactive dashboard that allows the user to engage with the data and use it to discover new insights. We typically look at accounts payable and purchase order data. The information is use by purchasing professionals to gain visibility on spend and make informed strategic sourcing decisions.
  3. Data Visualisation
    We use a range of analytical software to help us create and enrich your data to drive true business value. We various tools to transform your data from excel up to advanced machine learning techniques and everything in between. We make the data in format that is both consumable and user friendly
  4. Dashboard & Business Intelligence
    We strive to create stunning Dashboards that are easy to maintain and view. We work very closely with your subject matter experts and we create fully customised views that meet your requirements. We are expert designers in Tableau and Excel and can provide cutting edge managemen dashboard that reflect key performance indicators and help improve performance and deliver business improvements
  1. Inventory Management
    Today many companies are struggling with volatile demand and are increasingly faced with the challenge of optimising inventory levels. With rapid change in Global pricing our inventory management tool takes into account demand volatility and predicts what the appropriate inventory value should be thats reduces cost, makes service level aggrements and reduces stock outs.
  2. Order to Delivery and Leadtime reduction
    By mapping your end to end process we are able to use predictive analytics "What If" scenarios that show how many days it takes to ship through varies process milestones. We then use this to "Reverse Engineer" the process detractors and this shows the biggest areas that need improvement. This is linked to cash flow and cost of money and delivers significant reduction in process times.
  3. Logistics
    Using historical data we are able to create tools that determine the best method of transport to use when sourcing mutli site finished goods items. Working with your logistics team we can create local tools that help position the optimal method of transport.
  4. Dynamic Modelling - Monte Carlo Simulation
    We are able to map any process - manufacturing, transactional data, we use historical data to determine the bottlenecks in the process then we apply statistical analysis using dynamic systems modelling, this is then used to in scenario planning to determine policy and put in place alternative practices. This is sometimes referred to as monte carlo simulation.
Supply Chain, Analytics, Seaforth, Glasgow