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Sign in to unlock →A National Semi-Finalist deck that redesigns Myntra’s customer purchase journey using three product innovations backed by prototype data, cost modeling, and phased execution roadmaps.
Myntra StylBiz is one of India’s most competitive B-school case challenges, hosted directly by Myntra — the country’s dominant fashion e-commerce platform. Open to top MBA programs nationwide, StylBiz demands consumer insight, product thinking, and execution-ready strategy under significant competitive pressure. This team earned a National Semi-Finalist finish against hundreds of MBA teams, placing them among the top student problem-solvers in India’s fashion-tech ecosystem.
Myntra’s core challenge was the “phygital gap” — the experience deficit between offline and online shopping for Fashion & Accessories and Cosmetics customers. Offline shoppers can trial products, interact with salespeople, and make informed purchase decisions. Online buyers face fitting uncertainty, generic recommendations, no personalized guidance, and — specifically in cosmetics — no ability to try before buying with no return policy in place. With high-intent Tier 1 and 2 city users comparing platforms, Myntra risked losing engagement to competitors delivering a richer digital experience.
The deck opens with a disciplined category-by-category phygital gap diagnosis before proposing three distinct product solutions, each supported by a complete execution roadmap, prototype testing insights, and sourced cost-benefit modeling.
Idea 1 — Myntra E-Wardrobe introduces a digital inventory feature storing a user’s complete wardrobe (online and offline purchases), enabling hyper-personalized recommendations, occasion-based looks, and social gifting — intelligently leveraging sunk-cost fallacy to drive deeper app engagement and reduce returns. Idea 2 — MYRA, an AI lifestyle influencer embedded within Myntra Studio, enables brand collaborations and personalized customer chat — a pure first-mover advantage play, as no Indian e-commerce platform had a humanized AI influencer at the time. Idea 3 brings augmented reality virtual try-on to the cosmetics category, with a celebrity-look identification feature acting as a point of difference against Amazon and L’Oréal who offered base AR but not influencer-linked product discovery.
What makes this deck standout is its research discipline — every idea is validated through 54 prototype testers and 16 qualitative interviews, and each execution plan includes a rigorous A/B testing framework (95% confidence, 50-50 segmentation) with minimum expected revenue thresholds before MVP rollout.
Key takeaways for students:
MBA aspirants targeting Myntra, Nykaa, Meesho, or any consumer-tech brand in interviews or case rounds. Undergrads entering phygital, product strategy, or D2C cases who want a masterclass in structuring multi-idea decks with real validation logic. Marketing and product management students will find the prototype-testing-to-MVP flow directly applicable across categories. If you’re preparing for StylBiz, L’Oréal Brandstorm, or any consumer-tech competition, the execution rigor here transfers directly. Explore more such decks at CaseBuzz.
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