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Data-Driven Resilient Supply Management Supported by Demand Forecasting

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Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1716))

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Abstract

The article discusses several challenges related to resilient supply management and demand forecasting. Both of those topics are of great importance for food retailers and producers who aim at reducing the risk of lost sales opportunities and food waste. In the investigated case study of FitBoxY.com, due to the overestimated demand and too large deliveries, historically, even 30% of the products were overdue. The developed ML framework integrated with the supply management system enabled optimization of business costs and reduced food waste from overestimated demand. The experimental evaluation showed that, with the developed solution, it is possible to improve demand forecasting by nearly 50% compared to estimates proposed by human operators.

Research co-funded by Polish National Centre for Research and Development (NCBiR) grant no. POIR.01.01.01-00-0963/19-00 and by Polish National Science Centre (NCN) grant no. 2018/31/N/ST6/00610.

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Acknowledgment

This research was co-financed by Polish National Centre for Research and Development (NCBiR) grant no. POIR.01.01.01-00-0963/19-00 and by Polish National Science Centre (NCN) grant no. 2018/31/N/ST6/00610.

Author information

Authors and Affiliations

  1. Institute of Informatics, University of Warsaw, Banacha 2, Warsaw, 02-097, Poland

    Marek Grzegorowski & Andrzej Janusz

  2. QED Software Sp. z o.o., Warsaw, Poland

    Andrzej Janusz & Jarosław Litwin

  3. FitFood Sp. z o. o., Cracow, Poland

    Łukasz Marcinowski

Authors
  1. Marek Grzegorowski
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  2. Andrzej Janusz
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  3. Jarosław Litwin
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  4. Łukasz Marcinowski
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Corresponding author

Correspondence to Marek Grzegorowski .

Editor information

Editors and Affiliations

  1. University of Newcastle Australia, Newcastle, NSW, Australia

    Edward Szczerbicki

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  3. International University - VNU-HCM, Ho Chi Minh City, Vietnam

    Sinh Van Nguyen

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Pietranik

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Marek Krótkiewicz

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Grzegorowski, M., Janusz, A., Litwin, J., Marcinowski, Ł. (2022). Data-Driven Resilient Supply Management Supported by Demand Forecasting. In: Szczerbicki, E., Wojtkiewicz, K., Nguyen, S.V., Pietranik, M., Krótkiewicz, M. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2022. Communications in Computer and Information Science, vol 1716. Springer, Singapore. https://doi.org/10.1007/978-981-19-8234-7_10

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  • DOI: https://doi.org/10.1007/978-981-19-8234-7_10

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  • Print ISBN: 978-981-19-8233-0

  • Online ISBN: 978-981-19-8234-7

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