To Own or To Host

You take charge of Zipcart, a newly launched online marketplace, and must first learn why owning inventory too early can bankrupt a small business while hosting sellers keeps it safe. Once the business earns funding and scale, you switch to owning stock and spend eight quarters planning warehouse capacity, negotiating delivery contracts with two competing 3PL vendors, and managing seasonal demand swings. Every choice to add or shed capacity, push a courier on price, or lean on your own delivery team changes not just this quarter's profit but next quarter's demand. By the end, your closing bank balance tells you whether you served your customers well enough to keep them coming back.
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LEVEL
Undergraduate, MBA, Executive Ed, Graduate
TYPE
Single Player
DURATION
90 mins
DISCIPLINE
Operations Management, Strategy & General Management
Introduction

You step into the role of CEO at Zipcart, a newly launched Indian e-commerce marketplace, and face the central choice of the business from day one: own the stock and keep a large margin per order, or host sellers and stay asset-light on a smaller commission. An early lesson makes the trade-off visceral before the scored game begins, showing how fixed costs punish low volume. Once the business has grown, you take funding, open a warehouse, and run Zipcart for eight quarters, each representing one market period. You plan capacity ahead of demand knowing that expansion takes a full quarter to go live, negotiate price and reliability with two courier partners who behave very differently under pressure, and decide when a lost customer is worth the cost of under-serving a peak. Market events force you to read the signals and act before they are named. In the end, you discover whether your operating decisions built a resilient, reputation-driven business or one that chased short-term savings at the cost of its customer base.

Learning Objectives
  • Distinguish between an asset-light hosting model and an asset-heavy ownership model and identify the demand conditions favoring each
  • Analyze how fixed costs behave against volume and why low demand cannot sustain a heavy cost base
  • Plan warehousing and delivery capacity ahead of demand given a one-quarter lag on capacity expansion
  • Negotiate third-party logistics contracts by balancing cost against reliability across competing vendors
  • Protect a compounding customer base by prioritizing reliable service, especially during demand peaks
Key Features
  • Branching onboarding sequence that lets players feel the consequence of owning inventory too early before the scored game begins
  • Nine-step calculation engine covering demand, capacity, routing, delivery failures, financials, reputation, and loyalty each quarter
  • Two-vendor 3PL negotiation module with a deterministic haggle mechanic balancing price against reliability
  • Dynamic market events, including a cost spike and a courier reliability slump, that force players to adapt their strategy mid-game
  • End-of-session analytics and an auto-generated debrief report tracking bank balance, fill rate, and the hidden loyalty engine for structured classroom discussion
Educational Outcomes
  1. Students learn to evaluate strategic business model choices by reasoning through fixed versus variable cost structures rather than margin alone.
  2. Students develop the discipline to plan operating capacity ahead of demand, internalizing the cost of reacting too late.
  3. Students practice structured negotiation under a cost-reliability trade-off, learning when to concede and when to hold firm.
  4. Students build intuition for how service quality compounds into customer loyalty and future demand, not just current-period profit.
  5. Students internalize that operational excellence is a compounding advantage, and that reputation lost through poor service is far harder to rebuild than it was to earn.
Topics Covered
Asset-Light Versus Asset-Heavy Business Models
Capacity Planning Under Demand Uncertainty
Third-Party Logistics Negotiation
Fixed Versus Variable Cost Trade-Offs
Customer Reputation and Loyalty Dynamics