Retail Supply Chain Management: How Real-Time Analytics Improve the Customer Experience

Savvy retailers are now realizing that supply chain management plays a significant role not only in the operational cost structure and profitability but also in the quality of the customer experience. Buyers will no longer tolerate delivery problems or out-of-stock inventory, and retailers that can’t live up to impeccable order delivery and perpetually in-stock inventory can’t count on loyalty to keep customers in the fold.

The problem with traditional retail supply chain management is three-fold:

  1. Existing solutions can’t deliver end-to-end visibility across an increasingly complex supply chain.
  2. With heightened expectations around service quality coupled with customers shopping both online and traditional channels, the integration between discrete online and traditional retail business units has become critically important.
  3. The demand fluctuations created by both predictable seasonal requirements as well as unforeseen happenstances can lead to supply chain disruption.

This is where real-time data analytics comes into the picture. It enables you to track and trace events across a complex supply chain in real-time, providing you with end-to-end visibility and the agility to manage both peak requirements and unexpected disruptions.

Put simply, if you’re analyzing data after the fact, you can’t pinpoint problems and make adjustments fast enough to prevent missed deliveries and out-of-stock situations before they impact the customer. However, when retailers can analyze streaming data, they are able to make better predictions, decisions and adjustments in real-time, before the customer experience is negatively affected.

How is this achieved? Click here to read more.

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