RFID Talk Blog

Impinj debuts Store Performance Simulator

Simulation software has been used in the supply chain for years to provide insight into how to best design distribution centers, for example, and how to maximize manufacturing efficiency. Now, the same theory is being applied to item level tagging in the retail sector.

UHF Gen 2 RFID technology provider Impinj has unveiled its Store Performance Simulator (SPS), a web-based analysis tool built to assist retailers who are trying to determine the return on investment from adding RFID to their operations.

SPS allows retailers to better understand how variations in inventory management affect performance and profitability. By simulating shopping activity and store operations while tracking cumulative business results, SPS enables retailers to run a store in the virtual world under thousands of different scenarios while observing cause and effect in ways that are not feasible in the physical world.

Impinj believes SPS will lead to accelerated adoption of RFID among retailers.

Users can simulate store performance with or without RFID and with various front-stock and back-stock ratios, supply chain replenishment speeds, customer service levels, stock-taking labor rates and numerous other factors to understand the effect of these parameters on their store’s performance. Once validated against current operations, SPS results can drive performance targets for pilot deployments of the modified business processes.

“Retailers might not even be aware of the important role that simulation plays in so many other industries,” says Larry Arnstein, PhD, vice president of business development at Impinj. “Almost all retailers believe that RFID generates significant business benefits, but some struggle to prioritize the technology against other initiatives. We developed SPS so that retailers could compare multiple methods for improving store operations, including the use of RFID technology. Already SPS has provided insights to a major apparel retailer as they modified operations to increase profits.”

Developed to leverage low-risk, low-cost simulation to improve retail operations, SPS allows users to create scenarios with over 25 input parameters that describe how a store, or a product category within a store, operates. SPS then simulates the scenario, recording more than 35 store performance metrics and producing an income statement summarizing the store’s turnover rates, unit sales and profits. With SPS, retailers can experiment in simulation with various scenarios, and then confidently modify their operations to yield the expected performance improvements. Most simulations show that by utilizing RFID technology, stores can improve inventory visibility, increase sales and customer satisfaction, decrease out-of-stocks and markdowns, and improve employee awareness of performance.

Arnstein says that retailers large and small should be able to benefit from SPS. Large retailers who have already begun to deploy RFID for certain categories can use the system to gauge the impact of deploying other products categories, such as jewelry or consumer electronics. “If you’re a big retailer, you might model a department or a category, and draw your conclusions from that. If you’re running a small specialty store, you might model the entire store.”

“Impinj’s Store Performance Simulator is unquestionably the most flexible RFID store operations simulation tool that I have tested,” says Leslie Hand, research director at IDC Retail Insights. “Importantly, it enables baseline operational performance comparisons to RFID and other performance improvement “what if” scenarios, so the retailer can evaluate the quantitative value between adding staff, changing inventory management process, adding inventory and implementing RFID enabled processes.”

Impinj’s case study, Fast Track to Profits – Using Simulation to Improve Store Operations, is now available for download.  Written in cooperation with a Fortune 500 brand owner, the report details the benefits of store simulation and describes how Impinj’s SPS predicts the impact on performance and profits from changes to store operations, thus pointing the way toward a new data-driven approach for improving retail operations

 

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