Institutional-Repository, University of Moratuwa.
Transforming online retail: the innovations of inventory backcasting in demand forecasting
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| dc.contributor.author | Hasini, A | |
| dc.contributor.author | Perera, N | |
| dc.contributor.author | Talagala, P | |
| dc.date.accessioned | 2023-12-29T05:26:39Z | |
| dc.date.available | 2023-12-29T05:26:39Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://dl.lib.uom.lk/handle/123/21998 | |
| dc.description.abstract | Online retail, commonly known as e-commerce, has experienced tremendous growth and trans- formation in recent years. The COVID-19 pandemic accelerated this trend, making online shopping the go-to option for consumers seeking convenience and safety. This surge can attribute to technologi- cal advancements, increased mobile device usage, rising customer trust, and the preference for on- line shopping. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Moratuwa | en_US |
| dc.subject | Online retail operations | en_US |
| dc.subject | Forecasting Online Retail Demand | en_US |
| dc.subject | Backcasting Online Retail Inventory | en_US |
| dc.title | Transforming online retail: the innovations of inventory backcasting in demand forecasting | en_US |
| dc.type | Article-Full-text | en_US |
| dc.identifier.year | 2023 | en_US |
| dc.identifier.journal | Bolgoda Plains Research Magazine | en_US |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.volume | 3 | en_US |
| dc.identifier.pgnos | pp.39-42 | en_US |
| dc.identifier.doi | https://doi.org/10.31705/BPRM.v3(2).2023.8 | en_US |
