AI—Assisted Chatbot for E-Commerce to Address Selection of Products from Multiple Products

  • Pathan Mohd ShafiEmail author
  • Gauri S. Jawalkar
  • Manasi A. Kadam
  • Rachana R. Ambawale
  • Supriya V. Bankar
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 266)


Artificial Intelligence has been used nowadays increasingly to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. Machine Learning is a subset of AI techniques which includes various algorithms that gives machines the ability to learn from data or while interacting with the world without being explicitly programmed. E-commerce websites are trending nowadays due to online shopping makes customer’s life easier. Similar to this, Chatter Robots i.e. Chatbots are providing better customer service through Internet. A chatbot is a computer or software program for simulating intelligent conversations with human using rules or artificial intelligence for machine. Users can interact with the chatbot program via conversational interface through written or spoken text as input. With the help of E-commerce website sellers can reach to larger audience and with the help of chatbots, sales can be increased by personal interaction with the users. Chatbots will welcome a user to conversation, guide to customer to make purchase which will reduce customer’s struggle. Chatbots will ask customers all the relevant questions to find the perfect fit, style, and color for them. Chatbots are the future of marketing and customer support. Chatbots are one such means of technology which helps humans in a lot of ways, by helping them in e-commerce to increase sales whilst providing great customer satisfaction.


Online shopping E-commerce Chatbot Customers Machine learning Artificial intelligence Natural language processing Supervised learning Neural networks 


  1. 1.
    Marwade, A., Kumar, N., Mundada, S., Aghav, J.: Augmenting E-Commerce Product Recommendations by Analyzing Customer Personality (2017)Google Scholar
  2. 2.
    Bhawiyuga, A., Ali Fauzi, M., Pramukantoro, E.S., Yahya, W.: Design of E-Commerce chat robot for automatically answering customer question. University of Brawijaya Malang, Republic of Indonesia (2017)Google Scholar
  3. 3.
    du Preez, S.J., Lall, M., Sinha, S.: An intelligent web-based voice chatbot (2009)Google Scholar
  4. 4.
    Setiaji, B., Wibowo, F.W.: Chatbot using a knowledge in database (2017)Google Scholar
  5. 5.
    D’silva, G.M., Thakare, S., More, S., Kuriakose, J.: Real world smart chatbot for customer care using a software as a service (SaaS) architecture (2017)Google Scholar
  6. 6.
    Baby, C.J., Khan, F.A., Swathi, J.N.: Home automation using IoT and a chatbot using natural language processing (2017)Google Scholar
  7. 7.
    Pratt, E.: Artificial intelligence and chatbots in technical communication (2017)Google Scholar
  8. 8.
    Shawar, B.A.: Arab Open University, Information Technology Department, Jordan: Integrating computer assisted learning language systems with chatbots as conversational partners (2017)Google Scholar
  9. 9.
    Deshpande, A., Shahane, A., Gadre, D., Deshpande, M., Joshi, P.M.: A survey of various Chatbot implementation techniques. Int. J. Comput. Eng. Appl. XI (2017)Google Scholar
  10. 10.
    Abdul-Kader, S.A., Woods, J.: Survey on chatbot design techniques in speech conversation systems. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 6 (2015)Google Scholar
  11. 11.
    Pereira, M.J., Coheur, L.: Just. Chat-a platform for processing information to be used in chatbots (2013)Google Scholar
  12. 12.
    Lokman, A.S., Zain, J.M.: One-match and all-match categories for keywords matching in chatbot. Am. J. Appl. Sci. 7 (2010)Google Scholar
  13. 13.
    Ghose, S., Barua, J.J.: Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor. In: Proceedings of IEEE of 2013 International Conference on Informatics, Electronics & Vision (ICIEV) (2013)Google Scholar
  14. 14.
    Kar, R., Haldar, R.: Applying Chatbots to the Internet of Things: opportunities and architectural elementsGoogle Scholar
  15. 15.
    McTear, M., Callejas, Z., Griol, D.: Creating a Conversational Interface Using Chatbot Technology. Springer International Publishing, Cham (2016)CrossRefGoogle Scholar
  16. 16.
    Yusril, M., Setyawan, H., Awangga, R.M., Efendi, S.R.: Comparison of multinomial Naive Bayes algorithm and logistic regression for intent classification in chatbot. In: 2018 International Conference on Applied Engineering (ICAE) (2018)Google Scholar
  17. 17.
    Hossain, M.Y., Hossain, I., Banik, M., Hossain, M.I.A., Chakrabarty, A.: Embedded system based Bangla intelligent social virtual robot with sentiment analysis. In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR) (2018)Google Scholar
  18. 18.
    Saratha Devi, G., Vinothini, G., Janani Devi, C., Jeyachandrakala, C.: An enhanced voice based chatbot using artificial intelligence. Int. J. Eng. Technol. (2017)Google Scholar
  19. 19.
    Elhayatmy, G., Dey, N., Ashour, A.S.: Internet of Things based wireless body area network in healthcare. In: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence, pp. 3–20. Springer, Cham (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Pathan Mohd Shafi
    • 1
    Email author
  • Gauri S. Jawalkar
    • 1
  • Manasi A. Kadam
    • 1
  • Rachana R. Ambawale
    • 1
  • Supriya V. Bankar
    • 1
  1. 1.Department of Computer EngineeringSmt. Kashibai Navale College of EngineeringPuneIndia

Personalised recommendations