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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | GOGOI, SANNIDHYA | - |
| dc.date.accessioned | 2025-12-16T05:34:57Z | - |
| dc.date.available | 2025-12-16T05:34:57Z | - |
| dc.date.issued | 2025-12 | - |
| dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/22389 | - |
| dc.description.abstract | In the dynamic and highly competitive world of e-commerce, customer satisfaction has become a strategic priority for businesses aiming to secure long-term growth and loyalty. As consumer expectations evolve—demanding faster deliveries, seamless digital interactions, and highly personalized experiences—e-commerce companies must continuously optimize their internal operations to deliver superior customer experiences (CX). This research paper explores the critical role of operational efficiency in enhancing customer satisfaction within CX-driven initiatives for e-commerce businesses. The study evaluates how optimizing key operational areas—such as order fulfillment, logistics, customer support, personalization engines, and user interface design—can directly and indirectly elevate core CX metrics like Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES). Findings suggest that businesses which invest in operational streamlining are better equipped to meet customer needs consistently and at scale. Operational efficiency acts as a catalyst in reducing friction throughout the customer journey. For instance, the adoption of intelligent inventory systems, process automation, and predictive shipping helps ensure accurate order processing and timely deliveries— two of the most common pain points in e-commerce. Likewise, real-time support routing and chatbot automation significantly improve response times and resolution rates, creating smoother service experiences. Several strategic themes emerged from the study: ● Technology as a backbone for efficiency: AI-powered chatbots, robotic process automation (RPA), and machine learning tools are enabling businesses to automate routine tasks, optimize workflows, and enhance personalization—all while reducing cost and error margins. ● Data-driven personalization: Leveraging customer data and behavioral analytics allows for more relevant product recommendations, targeted offers, and proactive service, increasing both engagement and satisfaction. 6 ● Cross-functional CX alignment: Seamless customer experience requires collaboration across marketing, logistics, IT, and support teams. When internal silos are broken and teams share CX ownership, the result is a more cohesive and satisfying customer journey. ● Feedback integration and KPI monitoring: Organizations that establish continuous feedback loops and track customer-centric KPIs are able to adapt quickly, resolve inefficiencies, and evolve in line with changing customer expectations. The findings confirm that operational efficiency is not merely a back-end concern—it is a strategic lever for driving higher customer satisfaction in e-commerce. By aligning technology, people, and processes around the goal of CX excellence, businesses can significantly strengthen their competitive position in the digital marketplace. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | TD-8432; | - |
| dc.subject | CUSTOMER SATISFACTION | en_US |
| dc.subject | OPERATIONAL EFFICIENCY | en_US |
| dc.subject | E-COMMERCE BUSINESSES | en_US |
| dc.subject | CX PROJECTS | en_US |
| dc.title | IMPACT OF OPERATIONAL EFFICIENCY ON CUSTOMER SATISFACTION IN CX PROJECTS FOR E-COMMERCE BUSINESSES | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | MBA | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Sannidhya Gogoi DMBA.pdf | 1.19 MB | Adobe PDF | View/Open | |
| Sannidhya Gogoi PLAG.pdf | 1.58 MB | Adobe PDF | View/Open |
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