Overview
Daraz Nepal is the country’s largest e-commerce marketplace. Since launching (and later joining the Alibaba Group), it has accelerated digital commerce adoption, reshaped competitive dynamics, and catalyzed a supporting ecosystem of payments, logistics, and SMEs.
This case connects directly to Unit 2.4: Strategy, Structure, and Process—showing how these dimensions shift in a real Nepali context.
Strategy: Platform and Network Effects
- Platform-first strategy: Daraz does not primarily own inventory; it orchestrates a marketplace connecting thousands of sellers to millions of buyers.
- Network effects: More buyers attract more sellers and vice versa, reinforcing platform value.
- Data-driven growth: Search, recommendations, pricing, and promotions optimized via performance data and seasonality (e.g., 11.11 campaigns).
- Trust-building: Buyer protection, ratings/reviews, easy returns, and official stores increased confidence.
Result: Intensified competition and price transparency across categories; traditional retailers faced pressure to adopt omnichannel models.
Structure: Cross-functional and Partner-First
- Cross-functional category teams manage assortment, pricing, merchandising, and campaigns.
- In-house tech capability + global support from Alibaba; rapid deployment of platform features.
- Partner ecosystem:
- Logistics: Third-party couriers and last-mile partners; centralized warehouses.
- Payments: Integration with eSewa, Khalti, IME Pay, cards, and COD.
- Sellers: Seller Center tools for catalog, order, and performance.
Outcome: Flatter, agile decision cycles vs. traditional hierarchies; emphasis on partnerships over full vertical ownership.
Process: Digitized, Automated, Trackable
- Order-to-fulfillment: Automated order routing, WMS-driven picking/packing, shipping label automation, real-time tracking.
- Customer service: Help center, live chat/tickets, proactive notifications; standardized SLAs.
- Marketing: Always-on campaigns, A/B tests, event-led surges (11.11, 12.12), influencer and social integrations.
- Payments and reconciliation: Multi-method, instant verification, fraud controls, COD management.
Benefit: Faster cycle times, better visibility, lower per-order handling cost at scale.
Nepal-Specific Challenges and Responses
- Last-mile complexity: Terrain and addressing—mitigated via local partners and zone-based routing.
- Trust and COD dominance: Buyer protection and easy returns to reduce perceived risk.
- Counterfeit risk: Official Store program, platform policies, and seller audits.
- SME enablement: Training, onboarding support, financing partners during campaigns.
Outcomes and Lessons
- Behavior shift: Consumers increasingly discover, compare, and buy online; omnichannel emerges for traditional retailers.
- Capability shift: Logistics, data, and CX become differentiators, not just assortment and location.
- Policy implications: Need for clearer e-commerce regulatory posture and reliable digital infrastructure.
Key takeaways:
- Platforms can scale faster than single-retailer models via indirect network effects.
- Logistics & trust mechanics are strategic in Nepal.
- Continuous experimentation (pricing, UX, promotions) compounds advantage.
- Related reading: How E-commerce Changes Business: Strategy, Structure, and Process
- Next suggested topic: Explore omnichannel design patterns for Nepali retailers.

