MobiKwik’s Upasana Taku flags fintech, D2C and e-commerce growth opportunities

MobiKwik co-founder Upasana Taku discusses building through the 2008 crisis, India’s digital-payments opportunity, funding challenges for women entrepreneurs and AI-led business planning. She identifies D2C, e-commerce and financial services as high-growth sectors.

— Source publishedTue, 25 Aug, 2026, 14:08 IST·First seen Tue, 25 Aug, 2026, 14:21 IST·Source Business Today · Latest

What happened

Mobikwik · MobiKwik co-founder Upasana Taku discusses building an Indian fintech during the 2008 crisis, India’s digital-payments opportunity, women’s startup

Key facts

  • 2008

Why this matters

Evaluate partnership or acquisition targets that combine payment infrastructure with high-growth D2C, e-commerce or AI-enabled financial-services capabilities.

What to watch

  • UPI transaction growth, merchant acceptance expansion and changes in payment monetization rules.
  • Growth in D2C checkout conversion, repeat purchases and adoption of embedded credit or loyalty products.
  • RBI guidance on digital lending, data sharing, wallet economics and KYC requirements.
  • Funding rounds, shutdowns and consolidation among Indian fintech, D2C and commerce-enablement startups.
  • Delinquency trends in merchant cash advances, buy-now-pay-later and small-business digital loans.
  • Adoption of AI tools for demand forecasting, inventory planning and merchant underwriting.
  • Prioritize partnerships with D2C platforms and marketplace sellers where payments can be bundled with settlement, credit and analytics.
  • Build merchant data products that translate transaction history into inventory, cash-flow and customer-retention recommendations.
  • Track unit economics by merchant cohort; prepare to shift revenue emphasis from payment processing to value-added financial services.
  • Create financing and accelerator channels for underserved founders and merchants, using alternative transaction data with robust risk controls.
  • Stress-test AI business-planning tools for data quality, explainability, privacy and credit-model bias before customer deployment.