Quantum Retail Case Study

2353 Words 10 Pages
Register to read the introduction… Quantum retail helps in meeting the challenges and constraints faced by the retailing industry. The system makes forecasts and inventory decisions in real-time while also taking care of their inter-day and intra-day stocking. Quantum retail makes forecast on individual items of the store instead of using averages and it makes buying decisions for the firm based on current stock levels and other criteria such as daily selling pattern, product life cycle, seasonality/weather, projected waste, target service levels and inventory availability. Quantum retail is the supply chain solution provider to retail industry. It has an award as the winner of supply chain solution of the year and excellence award in 2008. (Trophy case, …show more content…
Hence I recommend they adopt (GDS) Global Data Synchronisation. (GDS) is known for its huge benefits to the retail industry. Some of the benefits include a 3-5% reduction of shelf out of stocks, 1% reduction in inventory amongst others and two-week reduction in speed to the market for new items. Retail firms are fast working with their suppliers to meet GDS standards. With GDI, suppliers and buyers are able to communicate about effectively about their products using a “common language” in contrast to having codes and descriptions which were error prone and still required to be translated before it is integrated into their system. Even though GDS is relatively time consuming, it is still preferred by major retail industry players as they are persuaded that it is a worthy investment and conforming to GDS is prerequisite for having an effective RFID. Dutch Retail Group Ahold after adopting GDS experienced a 30% reduction in time spent on managing data. Prior to this it had suffered 40% wrong data attributes relating to dimensions. (Microsoft retail supply chain management,

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