Presentation 2018-07-02
Influence on price and inventory strategy of competing retailers by distance between stores
Naoya Ogata, Toshiharu Sugawara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this research, genetic algorithm and multi agent simulation are integrated to learn pricing strategy and inventory strategy in order to maximize the profit of each retailer on the premise of a market where multiple retailers compete. In particular, by considering the distance between retailers and the distance between consumers and retail stores, we analyze the influence of distance on price and inventory of products at each retail store. Experimental results showed that considering distance, regional nature occurs in price strategy and inventory strategy. Especially, in areas where many retail stores are gathering, it was found that low price and low the number of inventory are good. And, lowering the number of inventory of products with high unit price is good. Also, in areas where retailers are not gathering, we found that higher prices can be tolerated.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) multi agent / retailer / genetic algorithm / distance
Paper # AI2018-6
Date of Issue 2018-06-25 (AI)

Conference Information
Committee AI
Conference Date 2018/7/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tsunenori Mine(Kyushu Univ.)
Vice Chair Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.)
Secretary Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.)
Assistant Yuko Sakurai(AIST)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence on price and inventory strategy of competing retailers by distance between stores
Sub Title (in English)
Keyword(1) multi agent
Keyword(2) retailer
Keyword(3) genetic algorithm
Keyword(4) distance
1st Author's Name Naoya Ogata
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Toshiharu Sugawara
2nd Author's Affiliation Waseda University(Waseda Univ.)
Date 2018-07-02
Paper # AI2018-6
Volume (vol) vol.118
Number (no) AI-116
Page pp.pp.29-34(AI),
#Pages 6
Date of Issue 2018-06-25 (AI)