Goal:
Transform EleFant from a subscription-based toy & book library into India’s fastest, hyperlocal D2C toy delivery platform, providing curated toys to children in under 1 hour while maintaining quality and operational efficiency.

Tools & Technologies used:
Market research, financial modeling (unit economics, P&L projections, sensitivity analysis), competitive analysis, micro-hub logistics planning, operational SOP design, and growth/marketing channel planning.

What I did?

Designed a city-level Mumbai pilot for 1-hour D2C toy delivery, including 5–7 hyperlocal micro-hubs and a curated 60-SKU catalogue.

Developed a comprehensive business plan covering market sizing, competitive landscape, customer personas, unit economics, operational workflows, and financial projections.

Created go-to-market strategy with CAC projections, retention programs, and technology roadmap for app & inventory management.

Defined 30/90/180-day pilot milestones, KPIs, and a hiring plan for operational and growth roles.

Built financial models including per-order contribution margin, CAC payback, and 3-year P&L projections.

Challenges and learning:

Balancing ultra-fast delivery SLA (1 hour) with inventory management and operational feasibility in dense urban zones.

Optimizing CAC across hyperlocal digital ads, partnerships, and influencer channels to ensure profitable unit economics.

Learning to integrate subscription and instant D2C revenue models while maintaining repeat purchase and customer retention metrics.

Result/Outcome:

Recommended launch of Model A (D2C purchase + 1-hour delivery) for immediate cashflow and scalable unit economics.

Designed micro-hub network and SOPs enabling 32% contribution margin per order in pilot simulations.

Defined clear 6-month pilot roadmap to achieve 800–1,000 daily orders with repeat rate ≥20% and contribution margin ≥30%.

Positioned EleFant to secure INR 1.5–2 Cr funding for operationalization, micro-hubs, and marketing, while creating a blueprint for city-to-city expansion.