International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.12, No.2, Apr. 2020

An Interactive Cart with Analytics Recommendation and Tracking-iCART

Full Text (PDF, 684KB), PP.1-8

Views:2   Downloads:0


Sanath Bhargav R, Meeradevi, Monica R Mundada, Sammed Gomatesh Ravanavar

Index Terms

Indoor navigation;recommendation system;chatbot;data analytics;machine learning;IOT;smart shopping


It is very common to use trolleys in supermarkets, they are machines which help us in easily carrying around a lot of items in the supermarket. iCart aims to extend the services offered by these trolleys by augmenting features such as indoor navigation, product recommendation and instantaneous reply to customer queries. For indoor navigation the RSSI values of the bluetooth modules are used to find the customers coordinates and dijkstra's algorithm is used for finding the shortest routes, for product recommendation age, gender and month of the year are passed as input parameters to a classification model and for replying to customer queries a chatbot is implemented using RASA framework. All the features mentioned will be integrated in a single LCD screen mounted on the trolley. This system not only wanes the energy spent by the customer foraging for items, but also increases the owner’s profits by providing product recommendations. This model is been implemented using IoT and Machine Learning techniques to save time of customer. 

Cite This Paper

Sanath Bhargav R, Meeradevi, Monica R Mundada, Sammed Gomatesh Ravanavar, " An Interactive Cart with Analytics Recommendation and Tracking-iCART", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.12, No.2, pp. 1-8, 2020. DOI: 10.5815/ijieeb.2020.02.01


[1]You-ChiunWangand Chang-Chen Yang, “Intelligent Shopping Trolley (IST) System by WSN to Support Hypermarket IoT Service”, The Tenth International  Conferenceon Sensor Technologies and Applications, Sensorcomm 2016.

[2]AnkushYewatkar, FaizInamdar, Raj Singh, Ayushya,AmolBandal, “Smart Cart with Automatic Billing, Product Information, Product Recommendation Using RFID &Zigbee with Anti-Theft”, 7th International Conference on Communication, Computing and Virtualization2016.

[3]Pritha N, SahanaS, SelvinStephy N, Shiny Rose S,UnnamalaiS, “Smart Trolley System for Automated Billing using RFID and IoT”, International Research Journal of Engineering and Technology (IRJET),  vol05, issue 04,Apr-2018.

[4]Suganya.R, Swarnavalli. N, Vismitha. S, Mrs. G.M.Rajathi, “Automated Smart Trolley with Smart Billing Using Arduino”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol 4, Issue III, March2016.

[5]ImedBouchrika, NouzhaHarrati, Ammar Ladjailia and So aneKhedairia, "Age Estimation  from  Facial  Images based on Hierarchical Feature Selection”, 16th international conference on Sciences and Techniques of Automatic control & computer engineering  -  STA'2015, Monastir, Tunisia, December 21-23,2015. 

[6]Rana Alaa, El-DeenAhmeda, M. ElemamShehaba et al., “Performance Study of Classification Algorithms for Consumer Online Shopping Attitudes and Behavior Using Data Mining”, 2015 Fifth International Conference on Communication Systems and Network Technologies, IEEEDOI:  10.1109/CSNT.2015.50

[7]Akshay,  Krishna, Akhilesh V et al., “Sales-forecasting of Retail Stores using Machine Learning Techniques”, 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), IEEE,DOI: 10.1109/CSITSS.2018.8768765.

[8]T.R. Lekhaa, S. Rajeshwari, J. AiswaryaSequeira , S. Akshayaa, “Intelligent Shopping Cart Using Bolt Esp8266 Based on Internet of Things” 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) DOI: 10.1109/ICACCS.2019.8728346. 

[9]Hiba Sadia, ShubhansuJee, Krishnendu Pal, Shikhar Singh,MebansharaiMarbaniang“Iot Application Based Advanced Shopping Trolley”International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-4, April 2019.

[10]N. Ragesh, B. Giridhar, D. Lingeshwaran, P. Siddharth and K. P. Peeyush, "Deep Learning based Automated Billing Cart," 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2019, pp. 0779-0782.

[11]P. Chandrasekar and T. Sangeetha, "Smart shopping cart with automatic billing system through RFID and ZigBee," International Conference on Information Communication and Embedded Systems (ICICES2014), Chennai, 2014, pp. 1-4.

[12]Armando Vieira et al., Predicting online user behaviour using deep learning algorithms November 2015 Writing a book on business applications of deep learning. 

[13]Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing, 24 may 2019

[14]Mehdi Mohammadi, SamehSorour“Deep Learning for IoT Big Data and Streaming Analytics: A Survey” IEEE Communications Surveys & Tutorials 5 DOI:10.1109/COMST.2018.2844341 June 2018. 

[15]FotiosZantalis et al.,” A Review of Machine Learning and IoT in Smart Transportation” Future Internet,MDPI,2019, 11, 94; doi:10.3390/fi11040094.