Name
Abstract | ||
|---|---|---|
This paper presents an agent-based simulator to investigating customer walking flows and purchasing behaviors in a super market. So far, such investigations have cost very much to examine in real situations. The simulator enables us to carry out "virtual experiments" through changing various parameters of retail businesses and store operations. For this purpose, first we observe an actual retail store and analyze sales data. Then we develop the simulation model: Agent-Based In-Store Simulator (ABISS). Intensive experiments have revealed that the flow of customers, which is related to the sales, depends on the design of a store and that the places of in-store advertisement and recommendation system vary their sales. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04592-9_31 | KES (2) |
Keywords | Field | DocType |
real situation,agent-based in-store simulator,recommendation system,sales data,store operation,retail business,in-store advertisement,actual retail store,analyzing customer behaviors,intensive experiment,agent-based simulator,data mining,customer behavior,recommender system,decision support,simulation model | Recommender system,Simulation,Computer science,Decision support system,Purchasing | Conference |
Volume | ISSN | Citations |
5712 | 0302-9743 | 5 |
PageRank | References | Authors |
0.65 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. Terano | 1 | 5 | 4.03 |
| Ariyuki Kishimoto | 2 | 5 | 0.65 |
| Toru Takahashi | 3 | 18 | 7.32 |
| Takashi Yamada | 4 | 12 | 4.58 |
| Masakazu Takahashi | 5 | 9 | 4.92 |