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Weight-Sensitive Foam to Monitor Product Availability on Retail Shelves

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4480))

Abstract

The retail industry, which is characterized by highly complex supply chain processes, still faces stockout rates of 5-10%. This results in sales losses of up to 4% which corresponds to hundreds of millions of dollars for large retailers. The most significant cause for stockout situations is inefficiencies in in-store logistics due to the lack of inventory visibility. In this paper, we present a product availability monitoring system, which anticipates stockouts before they occur and triggers the personnel to replenish the shelf. Our monitoring system is based on inexpensive polyolefin foam, which serves as mount for capacitive sensing elements. Our sensor system is designed for roll-to-roll based manufacturing, which suggests low production costs. Preliminary tests suggest that the system offers sufficient sensitivity to accurately and reliably detect low quantities of stocks. This will not only reduce losses of sales but also increase customer satisfaction.

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References

  1. Addlesee, M.D., et al.: ORL Active Floor. IEEE Personal Communications 4(5), 35–41 (1997)

    Article  Google Scholar 

  2. Ashruf, C.M.A.: Thin Flexible Pressure Sensors. Sensor Review 22(2), 322–327 (2002)

    Article  Google Scholar 

  3. Cattin, P.: Biometric Authentication System Using Human Gait. Dissertation No. 14603, ETH Zurich, Switzerland (2002)

    Google Scholar 

  4. Goth, G.: RFID: Not Quite Prime Time, But Dwadle at Your Own Risk, IEEE Distributed Systems Online 6(2) (2005)

    Google Scholar 

  5. Gruen, T.W., Corsten, D.S., Bharadwaj, S.: Retail Out-of-Stocks: A Worldwide Examination of Extent, Causes and Consumer Responses. Report, Grocery Manufacturers of America, The Food Marketing Institute and CIES – The Food Business Forum, Washington, D.C. (2002)

    Google Scholar 

  6. Lee, H., Özer, Ö.: Unlocking the Value of RFID. Graduate School of Business, Stanford University, Palo Alto, CA (2005)

    Google Scholar 

  7. Lowe, M., et al.: Flexible Tactile Sensor Technology: Bringing Haptics to Life. Sensor Review 24(1), 33–36 (2004)

    Article  Google Scholar 

  8. Lumelsky, V., Shur, M., Wagner, S.: Sensitive Skin. Sensors Journal 1(1) (2001)

    Google Scholar 

  9. Metzger, C.: Indirect Object-sensing Technology to Prevent Out-of-stock at Retail-level. In: Proceedings of the Workshop on Smart Object at the International Conference on Ubiquitous Computing, Tokyo (2005)

    Google Scholar 

  10. Meyer, J., Lukowizc, P., Troester, G.: Textile Pressure Sensor for Muscle Activity and Motion Detection. In: Int. Symposium on Wearable Computers (ISWC), Switzerland (2006)

    Google Scholar 

  11. Novel, Product Information “emed AT-25A”, http://www.novel.de/productinfo/prices-emed.htm

  12. Orr, R.J., Abowd, G.D.: The Smart Floor: A Mechanism for Natural User Identification and Tracking. In: ACM/SIGCHI Conference on Human Factors in Computing Systems (CHI 2000), The Hague, Netherlands (2000)

    Google Scholar 

  13. Paradiso, J., et al.: The Magic Carpet: Physical Sensing for Immersive Environments. In: Conference on Human Factors in Computing Systems (CHI’97), Atlanta, GA (1997)

    Google Scholar 

  14. Prosser, S., Schmidt, E.: Smart Sensors for Industrial Applications. Microelectronics Int. 16(2), 20–23 (1999)

    Article  Google Scholar 

  15. Raman, A.: Retail-Data Quality: Evidence, Causes, Costs, and Fixes. Technology in Society 22(1), 97–109 (2000)

    Article  MathSciNet  Google Scholar 

  16. Schmidt, A., et al.: Context Acquistion based on Load Sensing. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 333–351. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Alveo, S.: Physical Characteristics – data sheet on Alveolit TEE 0300.25, ID-number: MDS-577/B4 (September 2004)

    Google Scholar 

  18. Sergio, M., et al.: A Dynamically Reconfigurable Monolithic CMOS Pressure Sensor for Smart Fabric. Journal of Solid-State Circuits 28(6) (2003)

    Google Scholar 

  19. Tellkamp, C.: The Impact of Auto-ID technology on process performance – RFID in the FMCG supply chain. Dissertation No. 3182, University of St. Gallen, Switzerland (2005)

    Google Scholar 

  20. Wijesiriwardana, R., Mitcham, K., Dias, T.: Fibre-Meshed Transducers Based Real Time Wearable Physiological Information Monitoring System. In: Proceedings of the Eighth IEEE International Symposium on Wearable Computers (ISWC’04), Arlington (2004)

    Google Scholar 

  21. Woods, J., et al.: Hype Cycle for Radio Frequency Identification. Report G00129258, Gartner Research, p. 9 (2005)

    Google Scholar 

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Anthony LaMarca Marc Langheinrich Khai N. Truong

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© 2007 Springer Berlin Heidelberg

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Metzger, C., Meyer, J., Fleisch, E., Tröster, G. (2007). Weight-Sensitive Foam to Monitor Product Availability on Retail Shelves. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds) Pervasive Computing. Pervasive 2007. Lecture Notes in Computer Science, vol 4480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72037-9_16

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  • DOI: https://doi.org/10.1007/978-3-540-72037-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72036-2

  • Online ISBN: 978-3-540-72037-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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