사회연결망 서브그룹을 통한 소매점 상품배치 및 동선 평가: 장바구니 데이터 분석을 중심으로
An Approach of Product Placement and Path Evaluation Using Social Network Subgroup: Focusing on Shopping Basket Data Analysis
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Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.
Abstract
Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.
참고문헌 (28)
- Mowrey, C. H., "A Model to Optimize Rack Layout in A Retail Store", European Journal of Operational Research, 271, pp.1100~1112 (2018)
- "E-commerce Retail Sales Hit $453.5 Billion in 2017 As Brands Invest in Omnichanne" (2018)[URL]
- Dunne, P. M., "Retailing" (1995), South Western College Pub
- 김봉현, "효율적인 상품 배치를 위한 경로 가중치 데이터 분석 시스템 설계", 디지털융복합연구, 14(10), pp.167~172 (2016), 한국디지털정책학회[DOI]
- Ballester, N., "Effect of Retail Layout on Traffic Density And Travel Distance", Proceedings of IIE Annual Conference And Expo, pp.798~807
- Barnes, J., "Class and Committees in a Norwegian Island Parish", Human Relations, 7, pp.39~58 (1954)
- 곽기영, "소셜네트워크분석" (2014), 청람
- 윤한성, "속성유사도에 따른 사회연결망 서브그룹의 군집유효성", (사)디지털산업정보학회 논문지, 17(1), pp.75~84 (2021), (사)디지털산업정보학회
- "Online shopping and E-commerce" (2016)[URL]
- Hirpara, S., "Retail Facility Layout Considering Shopper Path", Computers & Industrial Engineering, 154, pp.106919~ (2021)
- 송용호, "다차원척도법을 이용한 매장 내 제품배치 및 제품분류 합리화에 관한 연구", 광고학연구, 20(4), pp.59~74 (2009), 한국광고학회
- 고경완, "DEA 모형을 활용한 소매점의 효율성 및 결정요인 분석", 경영과학, 31(4), pp.135~150 (2014), 한국경영과학회[DOI]
- 정윤정, "RFM 기반 SOM을 이용한 매장관리 전략 도출", 지능정보연구, 21(2), pp.93~112 (2015), 한국지능정보시스템학회
- Sorensen, H., "Inside The Mind of The Shopper : The Science of Retailing" (2009), Wharton School Pub
- Yapicioglu, H., "Retail Space Design Considering Revenue And Adjacencies Using A Racetrack Aisle Network", IIE Transactions, 44(6), pp.446~458 (2012)
- Sanoa, N., "Clustering of Customer Chopping Paths in Japanese Grocery Stores", Procedia Computer Science, 96, pp.1314~1322 (2016)
- 김상희, "유통매장 내 쇼핑 동선 분석을 위한 에이전트 기반 시뮬레이터 개발", 한국전자거래학회지, 17(1), pp.91~110 (2012), 한국전자거래학회
- Pantano, E., "Enhancing Store Layout Decision with Agent-Based Simulations of Consumers’ Density", Expert Systems With Applications, 182, pp.115231~ (2021)
- Chang, Victor, "A Proposed Social Network Analysis Platform for Big Data Analytics", Technological Forecasting & Social Change, 130, pp.57~68 (2018)
- 조윤호, "신상품 추천을 위한 사회연결망분석의 활용", 지능정보연구, 15(4), pp.183~200 (2009), 한국지능정보시스템학회
- 최슬비, "사용자 간 신뢰관계 네트워크 분석을 활용한 협업 필터링 알고리즘의 예측 정확도 개선", 지능정보연구, 22(3), pp.113~127 (2016), 한국지능정보시스템학회[DOI]
- 김창식, "사회적 네트워크가 성과에 미치는 영향", (사)디지털산업정보학회 논문지, 14(2), pp.133~141 (2018), (사)디지털산업정보학회[DOI]
- Borgatti, S. P., "Analyzing Social Network" (2013), Sage Publication Inc
- Alberto, M., "Distributed k-Core Decomposition", IEEE Transactions on Parallel & Distributed Systems, 24(2), pp.288~300 (2013)
- Mohammed, A. A., "Identification of Influential Spreaders in Online Social Networks Using Interaction Weighted K-core Decomposition Method", Physica A, 468, pp.278~288 (2017)
- Hidayet, A., "Efficient Community Identification and Maintenance at Multiple Resolutions on Distributed Datastores", Data &Knowledge Engineering, 100, pp.133~147 (2015)
- Wang, J. C., "Recommending Trusted Online Auction Sellers Using Social Network Analysis", Expert Systems with Applications, 34, pp.1666~1679 (2008)
- Lawrence, R. D., "Personalization of Supermarket Product Recommendation", Data Mining and Knowledge Discovery, 5(1-2), pp.11~32 (2001)