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Artificial Intelligence in Online Stores’ Processes

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1528))

Abstract

The global e-commerce market has been growing rapidly, even more so due to the COVID–19 pandemic which caused a number of stationery stores to close down. At the same time, Artificial Intelligence (AI) has also gained prominence. In this article, we review and describe the practical applications of AI which is helping e-commerce businesses. In particular, we have concentrated on AI in some key areas of e-commerces such as online marketing, operations in fulfillment centers, barcode identification, and autonomous delivery methods. The findings and conclusions in this article would be useful for researchers as well as businesses to get an overview of the landscape of AI applications in e-commerces.

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References

  1. Total retail sales worldwide from 2018 to 2022 - Statista. Accessed 10 Sept 2021

    Google Scholar 

  2. Bisnode & Bradstreet Report. https://www.bisnode.pl/wiedza/newsy-artykuly/ecommerce-szansa-na-przetrwanie/. Accessed 14 Apr 2021

  3. Bughin, J., Seong, J., Manyika, J., Chui, M., Joshi, R.: Modeling the global economic impact of AI. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy. Accessed 19 Sept 2021

  4. Singh, R.: A study of artificial intelligence and e-commerce ecosystem-a customer’s perspective. Int. J. Res. Eng. Sci. Manag. 4(2), 78–87 (2021)

    Google Scholar 

  5. Kalia, P.: Artificial intelligence in e-commerce: a business process analysis. In: Artificial Intelligence, pp. 9–19. CRC Press, Boca Raton (2021)

    Google Scholar 

  6. Davenport, T., Guha, A., Grewal, D., Bressgott, T.: How artificial intelligence will change the future of marketing. J. Acad. Mark. Sci. 48(1), 24–42 (2019). https://doi.org/10.1007/s11747-019-00696-0

    Article  Google Scholar 

  7. Sterne, J.: Artificial Intelligence for Marketing: Practical Applications. Wiley, Hoboken (2017)

    Book  Google Scholar 

  8. How AI marketing can help brands right now. http://ai4marketing.com/2018/02/02/ai-marketing-can-help-brands-right-now/. Accessed 19 Sept 2021

  9. Selected online companies ranked by total digital advertising revenue from 2012 to 2020. https://www.statista.com/statistics/205352/digital-advertising-revenue-of-leading-online-companies/. Accessed 19 Sept 2021

  10. Amazon lures advertisers from Facebook after Apple privacy shift. https://www.bloomberg.com/news/articles/2021-08-09/amazon-lures-advertisers-from-facebook-after-apple-privacy-shift. Accessed 19 Sept 2021

  11. The AI advantage of the tech giants: Amazon, Facebook, and Google. https://emerj.com/ai-executive-guides/ai-advantage-tech-giants-amazon-facebook-google/. Accessed 19 Sept 2021

  12. Facebook stats and trends. https://datareportal.com/essential-facebook-stats. Accessed 19 Sept 2021

  13. Useful eCommerce statistics you must know in 2021. https://wpforms.com/ecommerce-statistics/. Accessed 19 Sept 2021

  14. Harris, L., Dennis, C.: Engaging customers on Facebook: challenges for e-retailers. J. Consum. Behav. 10(6), 338–346 (2011)

    Article  Google Scholar 

  15. Bhattacharyya, S., Bose, I.: S-commerce: influence of Facebook likes on purchases and recommendations on a linked e-commerce site. Decis. Support Syst. 138, 113383 (2020)

    Article  Google Scholar 

  16. Evolving e-commerce market dynamics. https://www.capgemini.com/wp-content/uploads/2017/07/evolving_e-commerce_market_dynamics.pdf. Accessed 15 Sept 2021

  17. AI in advertising: everything you need to know. https://www.ibm.com/watson-advertising/thought-leadership/ai-in-advertising. Accessed 19 Sept 2021

  18. Inside Facebook’s biggest artificial intelligence project ever. https://fortune.com/longform/facebook-machine-learning/. Accessed 18 Sept 2021

  19. Facebook AI research. https://ai.facebook.com/research/. Accessed 18 Sept 2021

  20. Good questions, real answers: how does Facebook use machine learning to deliver ads? https://www.facebook.com/business/news/good-questions-real-answers-how-does-facebook-use-machine-learning-to-deliver-ads. Accessed 18 Sept 2021

  21. Build with Facebook. https://developers.facebook.com/. Accessed 19 Sept 2021

  22. Open-sourcing Ax and BoTorch: new AI tools for adaptive experimentation. https://ai.facebook.com/blog/open-sourcing-ax-and-botorch-new-ai-tools-for-adaptive-experimentation/. Accessed 19 Sept 2021

  23. AI applications @ Facebook [2021 update]. https://research.aimultiple.com/introducing-facebook-ai-no-magic-just-code/. Accessed 19 Sept 2021

  24. Revealing secrets - how Facebook is using artificial intelligence. https://itchronicles.com/artificial-intelligence/7-revealing-secrets-how-facebook-is-using-artificial-intelligence/. Accessed 19 Sept 2021

  25. Amazon advertising. https://advertising.amazon.com/. Accessed 22 Sept 2021

  26. How Amazon quietly powers the internet. https://www.forbes.com/sites/danrunkevicius/2020/09/03/how-amazon-quietly-powers-the-internet/. Accessed 22 Sept 2021

  27. The twenty year history of AI at Amazon. https://www.forbes.com/sites/cognitiveworld/2019/07/19/the-twenty-year-history-of-ai-at-amazon/. Accessed 22 Sept 2021

  28. Explore AWS AI services. https://aws.amazon.com/machine-learning/ai-services/. Accessed 22 Sept 2021

  29. Smith, B., Linden, G.: Two decades of recommender systems at Amazon.com. IEEE Internet Comput. 21(3), 12–18 (2017)

    Article  Google Scholar 

  30. Google ads help - about smart display campaign. https://support.google.com/google-ads/answer/7020281. Accessed 15 Sept 2021

  31. Mahroof, K.: A human-centric perspective exploring the readiness towards smart warehousing: the case of a large retail distribution warehouse. Int. J. Inf. Manage. 45, 176–190 (2019)

    Article  Google Scholar 

  32. Faber, N., de Koster, M.B.M., Smidts, A.: Organizing warehouse management. Int. J. Oper. Prod. Manag. 33(9), 1230–1256 (2013)

    Article  Google Scholar 

  33. Boysen, N., De Koster, R., Weidinger, F.: Warehousing in the e-commerce era: a survey. Eur. J. Oper. Res. 277(2), 396–411 (2019)

    Article  MathSciNet  Google Scholar 

  34. Dwivedi, Y.K., et al.: Artificial Intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manage. 57, 101994 (2019)

    Article  Google Scholar 

  35. Azadeh, K., De Koster, R., Roy, D.: Robotized and automated warehouse systems: review and recent developments. Transp. Sci. 53(4), 917–945 (2019)

    Article  Google Scholar 

  36. Fragapane, G., de Koster, R., Sgarbossa, F., Strandhagen, J.O.: Planning and control of autonomous mobile robots for intralogistics: literature review and research agenda. Eur. J. Oper. Res. 294(2), 405–426 (2021)

    Article  MathSciNet  Google Scholar 

  37. Honeywell and Fetch Robotics deliver autonomous mobile robots to DCs. https://www.robotics247.com/article/honeywell_partners_with_fetch_robotics _to_deliver_autonomous_mobile_robots. Accessed 16 Sept 2021

  38. Hu, K.Y., Chang, T.S.: An innovative automated storage and retrieval system for B2C e-commerce logistics. Int. J. Adv. Manuf. Technol. 48(1–4), 297–305 (2010)

    Article  Google Scholar 

  39. Zhang, D., Pee, L.G., Cui, L.: Artificial intelligence in e-commerce fulfillment: a case study of resource orchestration at Alibaba’s Smart Warehouse. Int. J. Inf. Manage. 57, 102304 (2021)

    Article  Google Scholar 

  40. Chodak, G.: Genetic algorithms in forecasting of internet shops demand. In: Świątek, J., Borzemski, L., Grzech, A., Wilimowska, Z. (eds.) Information Systems Architecture and Technology: System Analysis in Decision Aided Problems, pp. 59–68. Publishing House of the Wrocław University of Science and Technology, Wrocław (2009)

    Google Scholar 

  41. Azarafza, M., Ghazifard, A., Akgün, H., Asghari-Kaljahi, E.: Development of a 2D and 3D computational algorithm for discontinuity structural geometry identification by artificial intelligence based on image processing techniques. Bull. Eng. Geol. Env. 78(5), 3371–3383 (2018). https://doi.org/10.1007/s10064-018-1298-2

    Article  Google Scholar 

  42. Cao, F.: Geometric Curve Evolution and Image Processing. Springer, Heidelberg (2003). https://doi.org/10.1007/b10404

    Book  MATH  Google Scholar 

  43. Shakya, S.: Analysis of artificial intelligence based image classification techniques. J. Innov. Image Process. (JIIP) 2(01), 44–54 (2020)

    Article  Google Scholar 

  44. Acharya, R.U., Yu, W., Zhu, K., Nayak, J., Lim, T.C., Chan, J.Y.: Identification of cataract and post-cataract surgery optical images using artificial intelligence techniques. J. Med. Syst. 34(4), 619–628 (2010)

    Article  Google Scholar 

  45. Tizhoosh, H.R., Zhu, S., Lo, H., Chaudhari, V., Mehdi, T.: MinMax radon barcodes for medical image retrieval. In: Bebis, G., et al. (eds.) ISVC 2016. LNCS, vol. 10072, pp. 617–627. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-50835-1_55

    Chapter  Google Scholar 

  46. da Silva, I.N., Hernane Spatti, D., Andrade Flauzino, R., Liboni, L.H.B., dos Reis Alves, S.F.: Artificial neural network architectures and training processes. In: Artificial Neural Networks, pp. 21–28. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43162-8_2

    Chapter  Google Scholar 

  47. Youssef, S.M., Salem, R.M.: Automated barcode recognition for smart identification and inspection automation. Expert Syst. Appl. 33(4), 968–977 (2007)

    Article  Google Scholar 

  48. Yu, B., Jain, A.K.: A robust and fast skew detection algorithm for generic documents. Pattern Recogn. 29(10), 1599–1629 (1996)

    Article  Google Scholar 

  49. Liao, H.Y., Liu, S.J., Chen, L.H., Tyan, H.R.: A bar-code recognition system using backpropagation neural networks. Eng. Appl. Artif. Intell. 8(1), 81–90 (1995)

    Article  Google Scholar 

  50. Wang, L., Hou, Y., Li, L.: Barcode recognition based on improved AdaBoost algorithm. J. Liaoning Tech. Univ. (Nat. Sci.) 2 (2013)

    Google Scholar 

  51. Zamberletti, A., Gallo, I., Albertini, S.: Robust angle invariant 1D barcode detection. In: 2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan, pp. 160–164. IEEE (2013)

    Google Scholar 

  52. Meet Scout, Amazon. https://www.aboutamazon.com/news/transportation/meet-scout. Accessed 10 Sept 2021

  53. How Amazon scientists are helping the Scout delivery device find a path to success. https://www.amazon.science/latest-news/how-amazon-scientists-are-helping-the-scout-delivery-device-find-a-path-to-success. Accessed 10 Sept 2021

  54. Amazon prime air. https://www.amazon.com/Amazon-Prime-Air/b?ie=UTF8&node=8037720011. Accessed 10 Sept 2021

  55. How do AI-based drones work? https://heartbeat.fritz.ai/how-ai-based-drones-work-a94f20e62695. Accessed 10 Sept 2021

  56. Introducing Yandex.Rover, our autonomous delivery robot. https://medium.com/yandex-self-driving-car/introducing-yandex-rover-our-autonomous-delivery-robot-5c6f03796c3f. Accessed 20 Sept 2021

  57. Partnership develops vertical takeoff and landing delivery drones. https://www.springwise.com/innovation/mobility-transport/delivery-drone-wingcopter-ups. Accessed 20 Sept 2021

  58. Turban, E., Outland, J., King, D., Lee, J.K., Liang, T.-P., Turban, D.C.: Order fulfillment along the supply chain in e-commerce. In: Electronic Commerce 2018. STBE, pp. 501–534. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58715-8_13

    Chapter  Google Scholar 

  59. Why combine artificial intelligence and 3D printing? https://www.3dnatives.com/en/artificial-intelligence-and-3d-printing-060120204/. Accessed 20 Sept 2021

  60. Artificial intelligence market size, share & trends analysis report by solution, by technology (deep learning, machine learning, natural language processing, machine vision), by end use, by region, and segment forecasts, 2021–2028. https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market. Accessed 22 Sept 2021

  61. Guha, A., et al.: How artificial intelligence will affect the future of retailing. J. Retail. 97(1), 28–41 (2021)

    Article  Google Scholar 

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Acknowledgements

This work was partially supported by the National Science Centre (NCN) in Poland under grant number: 2018/29/B/HS4/02857 (Logistics, Trade and Consumer Decisions in the Age of the Internet). We would like to express our gratitude to Prof. David Ramsey (Associate Professor, Wrocław University of Science and Technology, Poland) for his kind support in language proofing and editing.

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Correspondence to Yash Chawla .

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Chodak, G., Chawla, Y. (2022). Artificial Intelligence in Online Stores’ Processes. In: Garg, D., Jagannathan, S., Gupta, A., Garg, L., Gupta, S. (eds) Advanced Computing. IACC 2021. Communications in Computer and Information Science, vol 1528. Springer, Cham. https://doi.org/10.1007/978-3-030-95502-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-95502-1_17

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