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Realization of SCM and CRM by Using RFID-captured Consumer Behavior Information

Tatsuya Inaba
2009 Journal of Networks  
To realize this application, we also propose two algorithms that effectively control an inventory turnover rate at the same time reward FSP customers based on their loyalty status.  ...  loyalty level and the discount prices are computed to achieve a target inventory turnover rate.  ...  One algorithm is based on dynamic programming algorithm and computes an appropriate price that makes inventory level at the end of sales period zero.  ... 
doi:10.4304/jnw.4.2.92-99 fatcat:5texcrl7i5cy3mcyeb3xhtuhxm

Algorithmic clothing: hybrid recommendation, from street-style-to-shop [article]

Y Qian and P Giaccone and M Sasdelli and E Vasquez and B Sengupta
2017 arXiv   pre-print
Such a construct is especially useful when there is a scarcity of user preference data, that forms the foundation of many collaborative recommendation algorithms.  ...  The recommendation system that is built after localisation, segmentation and classification has two properties -- first, it is knowledge based in the sense that it learns pairwise preference/occurrence  ...  Put simply, such an algorithm sequentially selects the dyad recommendation based on the interaction of the consumer with the recommendation system. e present work focuses on a recommendation dyad i.e.,  ... 
arXiv:1705.09451v2 fatcat:aia3msecsrfz5fn26yegziglxa

An open framework for multi-source, cross-domain personalisation with semantic interest graphs

Benjamin Heitmann
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
This enables users to receive recommendations for a target domain (e.g. food) based on any kind of previous interests.  ...  It includes an architecture for privacy-enabled profile exchange, a distributed and domainagnostic user model and a cross-domain recommendation algorithm.  ...  Spreading activation is a graph-based and content-based recommendation algorithm, which can provide cross-domain recommendations.  ... 
doi:10.1145/2365952.2366030 dblp:conf/recsys/Heitmann12 fatcat:vzur73nairc63ojm53pef7m2xa

Automated Market Basket Analysis System

Izang A., Okoro U., Olarewaju T., Fasanu T., Adeyinka A.
2018 International Journal of Computer Applications  
The Automated Market Basket Analysis System would improve on search methodologies that can also be of help in generating recommendations for consumers though the association rule mining algorithm embedded  ...  An automated MBA system was implemented through the use of the spiral model development model and a combination of HTML, PHP and MySQL as the programming environment to make this system web-based.  ...  The recommended items generated for the customer is based on the recommendation algorithm used on order processing in the admin use case, Since, distribution of items differs across /stores, it is expected  ... 
doi:10.5120/ijca2018917043 fatcat:tdehbxbawrd7rgyveedtspu2oi

Design of Intelligent Warehouse Management System Based on MVC

Ping Lu, Pingping Liu, Jiangtao Xu
2021 International Journal of Advanced Network, Monitoring, and Controls  
Aiming at the problems of single function, low service level and difficult to meet customers' demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm  ...  The algorithm calculates the similarity between items by analyzing user's consumption behavior records, finds similar items to 'target user's favorite items, recommends similar items to 'target user',  ...  Neighborhood-based recommendation algorithm is the most basic algorithm in the recommendation system, which is divided into two categories: user-based collaborative filtering algorithm (UserCF) and item-based  ... 
doi:10.21307/ijanmc-2021-020 fatcat:cdrpnu3nobahxeoie7cjqlgmg4

Customer Loyalty Based Dynamic Pricing by Using RFID-Enabled Floor Level Sales Information

Tatsuya Inaba
2007 2007 International Symposium on Applications and the Internet Workshops  
: BTDP Algorithm Base Target Discount Price (BTDP) Calculation -Compute a price to achieve inventory turnover rate goal -Difference in loyalty status is not taken into account Proposed Algorithms: MTDP  ...  to achieve two goals together: • Target inventory turnover rate to increase profit • Rewarding FSP members based on loyalty status -Connect the gap between SCM and CRM Limitations -Privacy -Legality  ... 
doi:10.1109/saint-w.2007.37 dblp:conf/saint/Inaba07 fatcat:ornvdeliybef3dfak5p74ry6ny

An intelligent recommender system for stock trading

Binoy B. Nair, V.P. Mohandas, George A. Tsihrintzis, Maria Virvou
2015 International Journal of Intelligent Decision Technologies  
In this research work, based on the literature review, a system is designed that gives recommendations for clearing the surplus stock in the inventory in retail shops, malls, and mega-marts.  ...  The system shall recommend top-N items having a maximum accumulation in the inventory.  ... 
doi:10.3233/idt-140220 fatcat:mcznhlke4bedrk3kia3nrha2kq

A Profit Function-Maximizing Inventory Backorder Prediction System using Big Data Analytics

Petr Hajek, Mohammad Zoynul Abedin
2020 IEEE Access  
However, backorder prediction is traditionally based on stochastic approximation, thus neglecting the substantial amount of useful information hidden in historical inventory data.  ...  Inventory backorder prediction is widely recognized as an important component of inventory models.  ...  The dataset was pre-processed through attribute standardization and missing value imputation using the fuzzy k-means algorithm, as recommended by [58] under general assumptions. V.  ... 
doi:10.1109/access.2020.2983118 fatcat:wuuaycvs2vhljd3af6adhrxwey

Personalizing Fairness-aware Re-ranking [article]

Weiwen Liu, Robin Burke
2018 arXiv   pre-print
Personalized recommendation brings about novel challenges in ensuring fairness, especially in scenarios in which users are not the only stakeholders involved in the recommender system.  ...  To solve this problem, we propose a Fairness-Aware Re-ranking algorithm (FAR) to balance the ranking quality and provider-side fairness.  ...  We assume that, for a given user u, a ranked recommendation list R has already been generated by a base recommender algorithm.  ... 
arXiv:1809.02921v2 fatcat:srj2no4jwndj3jhwu7w2en47am

Supplies and Equipment Inventory, Monitoring and Tracking Management System using Data Mining Techniques

Mignonette B. Tungcul, Instructor, Scholar of Commission on Higher Education, Department College of Hospitality Management, Cagayan State University, Tuguegarao City, Philippines, Marifel Grace Capili- Kummer, Dean, School of Information Technology & Engineering, Doctor in Information Technology Program Coordinator, St. Paul University Philippines
2021 International journal of recent technology and engineering  
Furthermore, the system used Clustering technique together with MFP algorithm to forecast the frequently purchased supplies and frequently repaired equipment.  ...  companies and government sectors but Cagayan State University is one of the big universities that remained inventory management in a manual way.  ...  Suggestions and recommendations were incorporated.  ... 
doi:10.35940/ijrte.b6174.0710221 fatcat:az2hqsjpkzb3zlt7cnb5fs6h3m

RFID Based Embedded System for Sustainable Food Management in an IoT Network Paradigm

Raúl Parada, Alfonso Palazón, Carlos Monzo, Joan Melià-Seguí
2019 Future Internet  
based algorithm which performs its recommendations based on the importance of the available ingredients within the recipe.  ...  The Ingredient-Weight based algorithm performs a better recommendation as it recommends a mashed potatoes recipe, in which potatoes are the main ingredient.  ... 
doi:10.3390/fi11090189 fatcat:aszhc2bs3jcfljhctshb4jgdqi

An Application of the Systemic-Structural Activity Theory to the Design of the Inventory Receiving Task

Gregory Bedny, Inna Bedny, Waldemar Karwowski
2015 Procedia Manufacturing  
Inventory receiving task that includes HCI has been selected to demonstrate the new method of analysis and new design principles.  ...  The main objective of this work is to explore the application of the systemicstructural activity theory to the study of computer based task.  ...  Based on analysis of existing algorithm of task performance it was recommended to introduce new screen which has one question "Work-in-process (Y/N)?"  ... 
doi:10.1016/j.promfg.2015.07.517 fatcat:lp2tnpsmyvgajntet7kf5ceska

Current Order and Inventory Models in Manufacturing Environments,A Review from 2008 to 2018

Zohreh Momeni , Amir Azizi Zohreh Momeni , Amir Azizi
2018 International Journal of Mechanical and Production Engineering Research and Development  
The purpose of this paper is to provide a review on order and inventory and use of Activity based costing approach in regard to supply chain management and cost managment.  ...  and Scopus" databases and in this regard, the Artificial Neural Network method which called "ANN", ant colony algorithm and queue theory have been proposed.  ...  Based on review findings, research methods for instance the applications of artificial neural networks, ant colony algorithm and queue theory have not studied also, we recommended them for future researches  ... 
doi:10.24247/ijmperdfeb2018129 fatcat:ctiun244ljc3pg5fwxhe5dh4xa

A Data Mining Approach For Product Promotion and Inventory Solution using FP-Growth Algorithm

Hartono H, Devi Fitrianah
2020 International Journal of Computer Applications  
These results can be used as recommendations for optimizing product promotions and inventory.  ...  This study aims to find interesting patterns on the database transaction so that it can be used as a recommendation sales promotion and inventory product.  ...  Fig 4: Best-Selling Item Base on Figure 4 , shows the best-selling items as inventory management recommendations so that the company will provide good inventory to meet customer needs and will not store  ... 
doi:10.5120/ijca2020919889 fatcat:sfje574cybhnznfsktxzes5rcq

The Design and Development of a Web-Based Virtual Closet: The Smart Closet Project

Noura N. Al-Omar, Noorah M. Al-Rashed, Hind I. Al-Fantoukh, Rana M. al-Osaimi, Al-Hanouf A. Al-Dayel, Sihem Mostefai
2013 Journal of Advanced Management Science  
Thus, the aim of the system is to introduce a centered virtual location that can put the user, his clothes and the vendors in one place of interaction through the invention of a smart recommendation algorithm  ...  Smart Closet is a web-based recommendation system where users can register and create their own virtual closet .In the Smart Closet system; users can add items, search, and find matches for items from  ...  provide adaptive and inclusive standard-based support along the e-learning lifecycle [6] , the trend is less evident in personal collection of clothing inventory such as the context of our system.  ... 
doi:10.12720/joams.1.1.124-128 fatcat:6ptxynf6inhdrb2zh7rdobe6he
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