Presentation on theme: "Bill Hardgrave Auburn University Note: this document is copyrighted ( 2010) and confidential; do not distribute or cite without explicit permission."— Presentation transcript:
Bill Hardgrave Auburn University Note: this document is copyrighted ( 2010) and confidential; do not distribute or cite without explicit permission.
2003 – 2006: pallet -> case; Wal-Mart, Metro, DoD Issue: inventory management in the supply chain; unprecedented ‘affordable’ visibility Epiphany: most problems at the store Result: shift to store-level visibility and item-level 2006 – present: item-level apparel/footwear; American Apparel, Dillard’s, Bloomingdale’s, J.C. Penney, several in Europe Issue: inventory accuracy, loss prevention, etc. Epiphany: multi-use technology, start at the store and go up supply chain Result: more adopters, broader adoption
Playing Investigating Road mapping Phased deployment Full deployment
Movement is being driven by RFID’s use case applications (solving problems) Inventory accuracy Out of stocks Locating product Loss prevention Dressing room management Price change management Etc. Focus on inventory accuracy … The big four
Inaccuracy causes Results in overstated PI? Results in understated PI? Can RFID reduce the error? Incorrect manual adjustment Yes TheftYesNoYes Damaged/spoiledYesNoPartial Improper returnsYes Mis-shipment from DC Yes Cashier errorYes
So what can we do? More frequent cycle counts Eliminate / reduce source
Cycle counting When to count? How often to count? What to count? Currently, retailers have very little flexibility in answering these 3 questions
Barcode In 3 different settings, a 96% reduction in labor to cycle count (RFID handheld vs. barcode scanner) Barcode avg = 200 items per hour RFID avg = 5000 items per hour
Inventory Accuracy Forecasts SalesCustomer satisfaction Replenish- ment Store execution Theft OOS Excess inventory
Inventory Accuracy Forecasts SalesCustomer satisfaction Replenish- ment Store execution Theft OOS Dressing room Faster checkout Locating product Excess inventory
Inventory accuracy Out of stocks Locating product Loss prevention The big four
How many people abandon a store because they cannot find the product they want? What do we have (inventory accuracy issue)? Where is it?
LocationEPCDate/timeReader DC 1230023800.241813.50000002410-04-09 23:15inbound DC 1230023800.241813.50000002510-04-09 23:22inbound DC 1230023800.241813.50000002410-08-09 7:15outbound DC 1230023800.241813.50000002510-09-09 8:23outbound ST 9870023800.241813.50000002410-08-09 20:31inbound ST 5670023800.241813.50000002510-09-09 19:10inbound ST 9870023800.241813.50000002410-09-09 20:54sales floor ST 5670023800.241813.50000002510-12-09 5:17sales floor If the product needed to be on the floor by 10/10/09 for the promotion, store 567 just missed an important window of opportunity – for themselves and for the supplier …
Insights / possibilities … Complete visibility Product and process tracer Where is shrinkage occurring? Visibility where you don’t have it today e.g., employee entrances; box crusher / trash
Test Store --Employee entrance Customer entrance 10 jeans carried in stack; walking100%93% 10 jeans carried in stack; running90%67% 2 jeans in bag; walking100% 5 jeans in bag; walking100% 1 jeans concealed under arm; walking100%0% 2 jeans concealed under arm; running50%67% *Real life theft: more than $3500 in merchandise left the store without being paid for …
Technology Smaller, better, faster, cheaper Commodity pricing Variety of devices Variety of sensors Infrastructure considerations (fixed, mobile, shielding, etc.) It works, but must be deployed properly (data issue)
Critical mass Unrealistic expectations Displacement of existing technology Incremental vs. radical/disruptive: paving the cow paths Massive investment / ROI / cost People! (change management) What to do with all this information …..
Bill Hardgrave firstname.lastname@example.org For copies of white papers, visit http://itri.uark.edu/research Keyword: RFID