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AFEBI Management and Business ReviewAFEBI Management and Business Review

The rise of digitalization has driven companies to adopt the Dual Channel Supply Chain (DCSC) model to expand market reach and improve distribution efficiency. This study aims to evaluate pricing strategies based on the level of coordination between online, offline, and reseller channels to maximize company profit. The research develops a mathematical model that incorporates three demand functions (offline, online, and reseller) and a profit objective function. Model parameters including price elasticity, cross-channel sensitivity, unit cost, and customer preferences were obtained from historical data and structured questionnaires, then optimized using MATLAB. The validated model was applied to simulate four pricing scenarios reflecting different coordination levels among channels. Simulation results show that Scenario 2, integrating coordination among online, external reseller, and offline channels, yields the highest financial performance, generating a total profit of IDR 456,955,350. This collaborative approach outperforms other scenarios by enabling synchronized pricing and promotions and expanding market coverage without requiring additional investment in distribution infrastructure. Further sensitivity analysis confirms that Scenario 2 remains the most robust across variations in key parameters such as unit cost, channel preference, and maximum demand. Therefore, a coordinated pricing strategy within the DCSC framework can serve as an adaptive and competitive solution for companies operating in multi-channel environments.

The study demonstrates that the level of coordination between distribution channels significantly impacts a companys profitability.Scenario 2, which integrates online, offline, and reseller channels, yields the highest profit.This collaborative approach enhances efficiency and responsiveness to market demand.Therefore, companies should prioritize coordinated pricing strategies within a Dual Channel Supply Chain framework to maintain competitiveness.

Further research should investigate the impact of dynamic pricing algorithms on channel coordination within the DCSC framework, exploring how real-time adjustments to prices based on demand and competitor actions can optimize profitability. Additionally, studies could examine the role of data analytics and machine learning in predicting consumer behavior across different channels, enabling more personalized and effective pricing strategies. Finally, future work should explore the integration of sustainability considerations into DCSC pricing models, assessing the willingness of consumers to pay a premium for environmentally friendly products and the impact of such pricing on overall supply chain performance. These investigations will contribute to a more nuanced understanding of DCSC dynamics and provide actionable insights for businesses seeking to optimize their multi-channel strategies in a rapidly evolving market landscape.

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