Authors : Loo Seng Xian; Lim Tong Ming

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/cyf73zuy

Scribd : https://tinyurl.com/e5je7y6j

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY2422

Abstract : This paper explores the development of an AI product advisor utilizing large language models (LLMs). Firstly, we discuss the needs and the current problems faced by industry. Subsequently, we reviewed past works by various scholars regarding AI Assistant in Retail and Other Industries, and LLM Models and techniques used in generative AI chatbot for sales and service activity related works. Next, we assessed the performance of various models including Llama2B, Falcon-7B, and Mistral-7B, in conjunction with advanced response generation techniques such as Retrieval Augmented Generation (RAG), fine-tuning through QLora and LLM chaining. Our experimental findings reveal that the combination of Mistral-7B with the RAG and LLM chaining technique enhances both efficiency and the quality of model responses. Among the models evaluated, Mistral-7B consistently delivered satisfactory outcomes. We deployed a prototype system using Streamlit, creating a chatbot-like interface that allows users to interact with the AI advisor. This prototype could potentially increase the productivity of frontliners in the retail space and provide benefits for the industry.

Keywords : Mistral-7B, Llama-2, Falcon-7B Generative AI, Generation AI, Language Model-based AI, Retrieval Augmented Generation (RAG), QLora, LangChain

References :

1. Reinartz, W., Wiegand, N., & Imschloss, M. (2019). The Impact of Digital Transformation on the Retailing Value Chain. International Journal of Research in Marketing, 36(3), 350–366. Science Direct. https://doi.org/10.1016/j.ijresmar.2018.12.002
2. AIContentfy (2023) The role of customer education in customer acquisition and retention. (2023, February 11). AIContentfy. https://aicontentfy.com/en/blog/role-of-customer-education-in-customer-acquisition-and-retention
3. Kim, J.-H., Kim, M., Park, M., & Yoo, J. (2022). Immersive Interactive Technologies and Virtual Shopping Experiences: Differences in Consumer Perceptions between Augmented Reality (AR) and Virtual Reality (VR). Telematics and Informatics, 77, 101936. https://doi.org/10.1016/j.tele.2022.101936
4. Hopkins, M. (2023, February 21). Building a competitive advantage in retail with technology. Planning and Analytics Blog – Board International. https://blog.board.com/building-competitive-advantage-retail-technology-is-key/
5. Varnika Om (2022) Customer Service is a Key Differentiator in Retail. (2022, May 27). Freshdesk Blogs. https://www.freshworks.com/freshdesk/customer-support/customer-service-in-retail-a-differentiator-blog/
6. Netstock. (2023, June 13). Demand Forecasting for Supply Chains: How to Predict & Plan. Netstock. https://www.netstock.com/blog/demand-forecasting-for-supply-chains-how-to-predict-plan/
7. ‌‌Mahmoud, M. A., Tsetse, E. K. K., Tulasi, E. E., & Muddey, D. K. (2022). Green Packaging, Environmental Awareness, Willingness to Pay and Consumers’ Purchase Decisions. Sustainability, 14(23), 16091. https://doi.org/10.3390/su142316091
8. PROS, Inc. (2023, March 29). Competitive Pricing Strategy: Benefits and Disadvantages. Pros.com. https://pros.com/learn/b2b-blog/competitive-pricing-strategy
9. ‌ Anchanto. (2022, May 1). 6 Struggles E-commerce Businesses in Consumer Electronics Know Too Well + (Proven Solutions). Anchanto. https://anchanto.com/6-struggles-ecommerce-businesses-in-consumer-electronics-know-too-well-proven-solutions/
10. Chong, T., Yu, T., Keeling, D. I., & de Ruyter, K. (2021). AI-chatbots on the services frontline addressing the challenges and opportunities of agency. Journal of Retailing and Consumer Services, 63, 102735. https://doi.org/10.1016/j.jretconser.2021.102735
11. Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096. https://doi.org/10.1016/j.jretconser.2020.102096
12. Shankar, V. (2018). How Artificial Intelligence (AI) is Reshaping Retailing. Journal of Retailing, 94(4), vi–xi. https://doi.org/10.1016/s0022-4359(18)30076-9
13. ‌Bhattacharyya, R., Chandra, S., Manikonda, K., Depuru, B., & Kumar, B. (2024). An AI-Driven Interactive Chatbot: A Well-Trained Chatbot that Communicates with the Users and Reduces the Manual Interaction. International Journal of Innovative Science and Research Technology, 9(2)
14. Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., Moustafa, R., Hegde, D. R., & Hawkins, G. (2021). How artificial intelligence will affect the future of retailing. Journal of Retailing, 97(1), 28–41. https://doi.org/10.1016/j.jretai.2021.01.005
15. Kaur, V., Khullar, V., & Verma, N. (2020). Review of Artificial Intelligence with retailing sector. Journal of Computer Science Research, 2(1). https://doi.org/10.30564/jcsr.v2i1.1591
16. Kim, J., & Min, M. (2024). From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process.
17. Moore, S., Bulmer, S., & Elms, J. (2022). The social significance of AI in retail on customer experience and shopping practices. Journal of Retailing and Consumer Services, 64(1), 102755. https://doi.org/10.1016/j.jretconser.2021.102755
18. Seranmadevi, R., & Senthil Kumar, A. (2019). Experiencing the AI emergence in Indian retail – Early adopters approach. Management Science Letters, 33–42. https://doi.org/10.5267/j.msl.2018.11.002
19. Trivedi, S., & Patel, N. (2020). The Role of Automation and Artificial Intelligence in Increasing the Sales Volume: Evidence from M, S, and, MM Regressions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4180379
20. Tuan, N. T., Moore, P., Thanh, D. H. V., & Pham, H. V. (2024). A Generative Artificial Intelligence Using Multilingual Large Language Models for ChatGPT Applications. Applied Sciences, 14(7), 3036. https://doi.org/10.3390/app14073036
21. Dhake, S. (2024). Impacts and Implications of Generative AI and Large Language Models: Redefining Banking Sector. Impacts and Implications of Generative AI and Large Language Models: Redefining Banking Sector, 14(2).
22. Dhoni, P. S. (2024). From Data to Decisions: Enhancing Retail with AI and Machine Learning. International Journal of Computing and Engineering, 5(1), 38–51. https://doi.org/10.47941/ijce.1660
23. Ding, M., Dong, S., & Grewal, R. (2024). Generative AI and Usage in Marketing Classroom. Customer Needs and Solutions, 11(1). https://doi.org/10.1007/s40547-024-00145-2
24. Gao, Y., Arava, S. K., Li, Y., & Jr, J. Ws. (2024). Improving the Capabilities of Large Language Model based Marketing Analytics Copilots with Semantic Search and Fine-Tuning. International Journal on Cybernetics & Informatics, 13(2), 15–31. https://doi.org/10.5121/ijci.2024.130202
25. Expert Marketing Advisors. (2023, September 14). Unlocking A Seamless Customer Experience With Omnichannel Marketing. Www.linkedin.com. https://www.linkedin.com/pulse/unlocking-seamless-customer-experience-omnichannel
26. Cook, B. (2023, August 22). Cost Reduction Process: Definition and Steps. Tipalti.com. https://tipalti.com/expenses-hub/cost-reduction-process/
27. Cohen, S. (2022, September 19). The Growing Awareness and Prominence of Environmental Sustainability. State of the Planet. https://news.climate.columbia.edu/2022/09/19/the-growing-awareness-and-prominence-of-environmental-sustainability/
28. Reddy, K. Pradeep. (2023). Consumers perception on green marketing towards eco-friendly fast moving consumer goods. International Journal of Engineering Business Management, 15(15). https://doi.org/10.1177/18479790231170962
29. Acxiom Technologies LLP. (2023, October 30). Advantages Of Using AI chatbots to Strengthen IT Service Management. Www.linkedin.com. https://www.linkedin.com/pulse/advantages-using-ai-chatbots-strengthen-service-management-qwr1f
30. LaMorte, W. (2022). The Social Cognitive Theory. Boston University School of Public Health. https://sphweb.bumc.bu.edu/otlt/MPH-Modules/SB/BehavioralChangeTheories/BehavioralChangeTheories5.html
31. Ostojić, I. (2024, May 14). Council Post: More Than Chatbots: AI Trends Driving Conversational Experiences For Customers. Forbes. https://www.forbes.com/sites/forbesbusinesscouncil/2024/03/15/more-than-chatbots-ai-trends-driving-conversational-experiences-for-customers/?sh=23b772bb29f7
32. Mehta, J. (2023, November 18). The role of chatbots in personalized customer experiences. Abmatic.ai. https://abmatic.ai/blog/role-of-chatbots-in-personalized-customer-experiences#:~:text=Personalized%20interactions%3A%20Chatbots%20can%20use
33. Trend Hunter. (2023, April 28). How AI is Revolutionizing Retail. Www.linkedin.com. https://www.linkedin.com/pulse/how-ai-revolutionizing-retail-trend-hunter
34. Fergus, S. (2024, January 17). Exponential Growth of Data: Avoiding a Resource Allocation Paradox. Shipyard. https://www.shipyardapp.com/blog/exponential-data-growth/#:~:text=As%20data%20volumes%20grow%20exponentially
35. Stalmachova, K., Chinoracky, R., & Strenitzerova, M. (2022). Changes in Business Models Caused by Digital Transformation and the COVID-19 Pandemic and Possibilities of Their Measurement—Case Study. Sustainability, 14(1), 127. Mdpi. https://doi.org/10.3390/su14010127
36. Buehler, T. Leigh. (2024, April 3). Artificial Intelligence in Retail and Improving Efficiency | American Public University. Www.apu.apus.edu. https://www.apu.apus.edu/area-of-study/business-and-management/resources/artificial-intelligence-in-retail-and-improving-efficiency/
37. Coherent Market Insights. (2023, December 26). The Future of Shopping: How AI is Reshaping Retail Dynamics. Www.linkedin.com. https://www.linkedin.com/pulse/future-shopping-how-ai-reshaping-retail-dynamics-mkijf
38. Grewal, D., Benoit, S., Noble, S., Guha, A., Carl-Philip Ahlbom, & Jens Nordfält. (2023). Leveraging In-Store Technology and AI: Increasing Customer and Employee Efficiency and Enhancing their Experiences. Journal of Retailing, 99(4). https://doi.org/10.1016/j.jretai.2023.10.002
39. Ruparelia, A. (2022, March 5). 8 Types of Traditional Marketing Methods to Implement - Salespanel. Salespanel Blog. https://salespanel.io/blog/marketing/traditional-marketing-methods/
40. Hashemi-Pour, C. (2023, October). What Is CRM (Customer Relationship Management)? TechTarget. https://www.techtarget.com/searchcustomerexperience/definition/CRM-customer-relationship-management
41. Susanti, Y., Pratiwi, H., Sri Sulistijowati, H., & Liana, T. (2014). P A. M Estimation, S Estimation, and MM Estimation in Robust Regression, Volume 91(No. 3). https://doi.org/10.12732/ijpam.v91i3.7
42. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., & Carlson, J. (2021). Setting the Future of Digital and Social Media Marketing research: Perspectives and Research Propositions. International Journal of Information Management, 59(1), 1–37. Sciencedirect. https://doi.org/10.1016/j.ijinfomgt.2020.102168
43. Integration, T. (2023, August 16). 5 ways to streamline & improve your supply chain process - 2023. Target Integration. https://targetintegration.com/5-ways-to-streamline-improve-your-supply-chain-process-2023
44. V-Count. (2024, January 26). The Impact of AI Technologies in Retail - V-Count. V-Count.com. https://v-count.com/the-impact-of-ai-technologies-on-retail-examining-benefits-and-transformations-in-shopping/#:~:text=AI%2C%20with%20its%20advanced%20algorithms
45. Ngoc, B. (2024, April 21). Why Affordable AI Chatbots Can Revolutionize Your SME. Www.linkedin.com.
46. https://www.linkedin.com/pulse/why-affordable-ai-chatbots-can-revolutionize-your-sme-bui-ngoc-okr1c?trk=public_post
47. Fernandex, R. (2024, May 5). Mistral AI Launches Mistral Large LLM and “Le Chat”: Everything You Need to Know. Techopedia. https://www.techopedia.com/mistral-ai-launches-mistral-large-llm-and-le-chat#:~:text=Mistral%20Large's%20capacities%20are%20still,as%20a%20text%2Dbased%20model.
48. LangChain. (2024). Q&A with RAG | LangChain. Python.langchain.com. https://python.langchain.com/v0.1/docs/use_cases/question_answering/
49. MoldStud. (2024, May 5). Benefits of using AI-driven chatbots in software applications. Moldstud.com. https://moldstud.com/articles/p-benefits-of-using-ai-driven-chatbots-in-software-applications
50. Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & F. Tegwen Malik. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076–123076. https://doi.org/10.1016/j.techfore.2023.123076
51. Hackett, T. (2024, February 23). Competitive Pricing Tactics: Stay Profitable in a Cutthroat Market. Medium. https://medium.com/@tony.hackett/competitive-pricing-tactics-stay-profitable-in-a-cutthroat-market-d3d0f4f43926
52. Walia, E. (2024, January 11). Cybersecurity essentials for Retail business in 2024. Www.linkedin.com. https://www.linkedin.com/pulse/cybersecurity-essentials-retail-business-2024-eshan-walia-wy3ef
53. Božić, V. (2023). RISKS OF DIGITAL DIVIDE IN USING ARTIFICAL INTELLIGENCE (AI). RISKS of DIGITAL DIVIDE in USING ARTIFICAL INTELLIGENCE (AI). https://doi.org/10.13140/RG.2.2.18156.13443
54. Elsaid, H. (2024, March 1). AI in banking: What will it actually change? Trade Finance Global. https://www.tradefinanceglobal.com/posts/ai-in-banking-what-will-it-actually-change/
55. Hypersonix, & Becchetti, G. (2024, March 28). Optimizing Retail Operations with Predictive Analytics and AI. Hypersonix. https://hypersonix.ai/blog/optimizing-retail-operations-with-predictive-analytics-and-ai/
56. Joadekar, P. (2024). AI and Responsible Banking: Balancing Efficiency with Ethics | Synechron. Www.synechron.com. https://www.synechron.com/insight/ai-and-responsible-banking-balancing-efficiency-ethics
57. OnFinance AI. (2024, April 14). Unlocking Precision: The Art of Fine-Tuning Language Models. Www.linkedin.com. https://www.linkedin.com/pulse/unlocking-precision-art-fine-tuning-language-models-fwwfc
58. Pandey, P. (2023, August 10). Exploring Semantic Search Using Embeddings and Vector Databases with some popular Use Cases. Medium. https://medium.com/@pankaj_pandey/exploring-semantic-search-using-embeddings-and-vector-databases-with-some-popular-use-cases-2543a79d3ba6
59. Rizvi, M. (2023). Investigating AI-Powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments. The Eurasia Proceedings of Educational and Social Sciences, 31, 67–73. https://doi.org/10.55549/epess.1381518
60. Roy, M. (2022). Artificial Intelligence in Pharmaceutical Sales & Marketing -A Conceptual Overview.
61. Oosthuizen, K., Botha, E., Robertson, J., & Montecchi, M. (2020). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal (AMJ), 29(3). https://doi.org/10.1016/j.ausmj.2020.07.007