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Conference Paper: The impact of AI-powered shelf monitoring on product sales
Title | The impact of AI-powered shelf monitoring on product sales |
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Authors | |
Keywords | Monitoring Shelf display Field experiment Quasi-experiment Economic value of artificial intelligence |
Issue Date | 2021 |
Publisher | Association for Information Systems. The Conference Proceedings is located at https://aisel.aisnet.org/icis/ |
Citation | 41st International Conference on Information Systems (ICIS 2020): Making Digital Inclusive: Blending the Local and the Global, 13-16 December 2020. In Conference Proceedings, 2021 How to Cite? |
Abstract | We collaborate with Danone to study how AI-based shelf monitoring helps with manufacturers' shelf management efforts by using data from a field experiment. We find that AI-powered shelf monitoring significantly improves product sales. This effect is only partially persistent in that it diminishes after monitoring is terminated. We further reveal that the positive effect is attributed to independent retailers rather than chained retailers. Since the major difference in shelf monitoring between these two types of retailers is the degree of heterogeneity in shelf space rental contracts, this finding indicates that AI-powered monitoring is better than human monitoring when facing more heterogeneous shelf displays. The finding further suggests the better scalability of AI in coping with more heterogeneous objects. We also interview with the delegates and find a low marginal cost of adopting, which suggests a long-term applicability of AI-powered shelf monitoring to generate value for the manufacturer. |
Persistent Identifier | http://hdl.handle.net/10722/303769 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Deng, Yipu | - |
dc.contributor.author | Huang, Liqiang | - |
dc.contributor.author | Zheng, Jinyang | - |
dc.contributor.author | Kannan, Karthik | - |
dc.date.accessioned | 2021-09-15T08:25:59Z | - |
dc.date.available | 2021-09-15T08:25:59Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | 41st International Conference on Information Systems (ICIS 2020): Making Digital Inclusive: Blending the Local and the Global, 13-16 December 2020. In Conference Proceedings, 2021 | - |
dc.identifier.isbn | 9781733632553 | - |
dc.identifier.uri | http://hdl.handle.net/10722/303769 | - |
dc.description.abstract | We collaborate with Danone to study how AI-based shelf monitoring helps with manufacturers' shelf management efforts by using data from a field experiment. We find that AI-powered shelf monitoring significantly improves product sales. This effect is only partially persistent in that it diminishes after monitoring is terminated. We further reveal that the positive effect is attributed to independent retailers rather than chained retailers. Since the major difference in shelf monitoring between these two types of retailers is the degree of heterogeneity in shelf space rental contracts, this finding indicates that AI-powered monitoring is better than human monitoring when facing more heterogeneous shelf displays. The finding further suggests the better scalability of AI in coping with more heterogeneous objects. We also interview with the delegates and find a low marginal cost of adopting, which suggests a long-term applicability of AI-powered shelf monitoring to generate value for the manufacturer. | - |
dc.language | eng | - |
dc.publisher | Association for Information Systems. The Conference Proceedings is located at https://aisel.aisnet.org/icis/ | - |
dc.relation.ispartof | International Conference on Information Systems (ICIS) | - |
dc.subject | Monitoring | - |
dc.subject | Shelf display | - |
dc.subject | Field experiment | - |
dc.subject | Quasi-experiment | - |
dc.subject | Economic value of artificial intelligence | - |
dc.title | The impact of AI-powered shelf monitoring on product sales | - |
dc.type | Conference_Paper | - |
dc.identifier.scopus | eid_2-s2.0-85103460743 | - |