Supplier Relationship Management and Expert Procurement Practitioners
Strong relationships with reliable suppliers are essential. Long- term partnerships can lead to better negotiation of price, more favourable terms and improved trust in the supply chain. Expert procurement support, whether in-house or outsourced, will improve your relationship with your supply chain. We use a category management approach to identify the optimum sourcing solution and drive the most competitive price and high- quality products. We understand and effectively manage products as a core capability, driving down cost throughout the supply chain for our customer’s benefit. This involves negotiation, supply chain review, product substitutions and rationalisation, OEM parts conversions, and product standardisation, with a continued focus on supplier rationalisation. Before any new items are introduced, they are subject to rigorous inspection by our engineering team, and approval by our customer. We are supplier agnostic, with no product range or suppliers forced on to a customer. Strong supplier relationship management ensures a partnership approach with the suppliers. This fosters a culture of continuous value delivery and continuous improvement and means that we not only offer our customer the specific products required, but also can identify alternative products that provide the same high quality, but at a lower cost.
Demand Forecasting
Employ data analytics and historical project data to forecast material and equipment demand accurately. This helps prevent shortages and overstock situations, minimising waste and cost fluctuations. We have our own in house demand forecast planning system – Msys.DFP. Our dedicated team of experts ensures that we manage our customers inventory needs in the most efficient way. We use a combination of systems and expert knowledge to accurately predict future inventory demand, to guide production, inventory management and business decisions. We use historical data and techniques including qualitative and quantitative methods to estimate future demand. Challenges include data quality, changing market conditions, and the need to account for seasonality and causal factors. Our advanced techniques, such as machine learning and improved data analytics, help us enhance accuracy. Our goal is to shrink inventory levels while improving inventory availability.
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