| dc.description.abstract | This internship report is a detailed discussion on the application of intelligent and data-driven supply chain practices in the CHOICE Channel of Daraz Bangladesh to ensure that the operations remain efficient, affordable, and of high quality amid economic difficulties. The evidence and observations developed in this paper are based on the practical experience of working in the Supply Chain Business Team, namely, in the Strategy and Planning category. It is a very significant difference to draw that, in e-commerce, a Supply Chain Business or a Category Management team frequently is at the same level as Sales and Supply Chain. They are not operating the delivery trucks or running the floor in the warehouse (that is pure logistics/operations), but driving sales, which, of course, dictates what the supply chain must do.
E-commerce platforms have no option but to evolve in a very price-sensitive market, which is fought by inflation, increased cost of logistics, and changes in the purchasing power of consumers. The Daraz CHOICE Channel is specifically tailored to fight back against these macroeconomic forces by providing quality-controlled products at very competitive prices, deliberately lowering the prices below the external competing sites as well as the average third-party sellers in the normal Daraz marketplace. The channel uses a single-warehouse, single-cart model to accomplish this cost leadership and radically lower the cost of fulfilment, which is then transferred to the consumer. The report critically examines the pillars of operation of the channel, such as analysis of competitive pricing, smart assortment planning, proactive coordination of the seller, and monitoring of the inventory. Cost Leadership and Benchmarking: The CHOICE channel has been able to ensure that, by applying data-intensive and rigorous price benchmarking, the company remains an absolute cost leader in the market. Inventory Efficiency SKU Assortment optimization ensures that the channel is strictly focused on high-performing SKUs and helps in increasing the inventory turnover rate and minimizing excess inventory risks significantly. Supply Chain Responsiveness: Unrestrained communications with sellers, sustained inventory management have also been found to be vital in reducing out-of-stock instances, especially when the demand spikes, like the 11.11 Global Campaign.
Even though the system in general is efficient, it has to deal with continuous problems of extreme demand volatility, the risk-prone use of manual processes of coordination of the sellers, and the restrictions of the current predictive forecasting accuracy. These are vulnerabilities that need to be mitigated in order to enable scalable and long-term competitiveness; thus, the report is proposing a number of strategic upgrades. Daraz has to improve its predictive analytics by moving to machine learning models, adopting automated real-time inventory alerts to manage dependence on manual operations, integrating suppliers and tracking their performance, and implementing internal marketplace price governance. Finally, the internship experience proves the fact that the Daraz CHOICE Channel is a strong, contemporary, data-oriented supply chain model. Through proper adoption of smart data in its daily supply and pricing systems, Daraz can streamline its supply chain, absorb the effects of economic uncertainty, and continuously provide unparalleled value to the Bangladeshi customer. | en_US |
