Assembling Commerce
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Solving discovery complexity and decision fatigue across categories via Agentic Commerce.
With over 185K monthly visitors and a vast multi-category catalog, users faced high discovery complexity across hair, skin, and wellness categories. Traditional search failed for long, intent-driven queries—such as a user searching for 'best oil for hair fall and dandruff'—resulting in irrelevant keyword matching and immediate drops.
We deployed an Agentic Conversational Commerce assistant that understands long-tail, natural queries, maps user problems directly to correct products, maintains context across turns (e.g. 'Show something natural' -> 'Under RS.500' -> 'For daily use'), and seamlessly resolves post-purchase queries like order tracking, returns, and refund policy FAQs.
Interprets natural language queries (like 'Which oil is best for hair fall and dandruff for women?') and maps them directly to the right brand items across catalog categories.
Narrows down recommended products step-by-step based on sequential customer filters (e.g. budget ceilings, organic ingredients, daily usage) without resetting the journey.
Add-to-cart rate increased from 6% to 7.5% (approx. 25% relative lift).
Approximately 20% to 25% of all add-to-cart checkout actions were directly influenced by the assistant.
Zero-results search rate decreased by 15% to 20% through smart problem-to-solution mapping.
A leading digital marketplace specializing in premium wellness products, including advanced hair care, skincare routines, immunity formulations, and organic stress-relief solutions.
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