India Commerce / AI Shopping

Help customers choose with confidence, not another search box.

AI shopping is most valuable when it reduces the work of deciding. We design guided discovery, comparison, recommendation, and assisted-commerce experiences around real customer questions and reliable product information.

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India-first expertise

Strategy + creative + systems

Built around commercial signals

The commercial tension

A generic chatbot rarely changes commerce outcomes. Useful AI shopping requires catalog structure, clear use cases, trustworthy responses, strong interface states, and graceful human handoff. We design the complete experience rather than adding a novelty widget.

What we solve

One senior team across the decisions that usually get separated.

Use-case design

We identify where conversation, recommendation, summarization, or guidance can genuinely reduce customer effort.

Experience architecture

Flows, prompts, response states, product cards, comparisons, confidence cues, and human escalation.

Knowledge readiness

Catalog, policy, content, and operational requirements needed for grounded responses.

Pilot and evaluation

A scoped pilot with quality criteria, failure testing, analytics, and a path to production.

Best fit

Brands with complex catalogs or high-consideration products
Retailers where customers need comparison or guided discovery
Commerce teams exploring AI without a clear first use case

Typical engagement

AI shopping opportunity map
Conversational journey and interface prototype
Knowledge and integration specification
Evaluation framework
Pilot roadmap or production design system

Designed to improve

Faster product discovery
More confident consideration
A useful AI proposition tied to customer needs
Reduced risk before committing to a full build

How the work moves

Choose the job

We define the high-value customer decision the AI experience should improve.

Ground the system

We map product data, policies, integrations, limitations, and escalation paths.

Prototype

We design and test the conversation, interface, content, and edge cases.

Pilot responsibly

We launch with quality monitoring and explicit criteria for expanding the use case.

Relevant experience

Proof should explain the thinking, not just display the output.

Enterprise Commerce / Product UX

Chanlogic / Simon

Connecting onboarding, sales, advertising and orders through a shared interface for a complex commerce ecosystem.

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Developer Experience / Interface Design

Samsung

Translating the scale of a global technology platform into a focused digital experience for the people building with it.

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Commerce intelligence

Understand the system before choosing the tactic.

9 min read

AI Shopping for Ecommerce: From Generic Chatbot to Guided Decision

How to design AI shopping experiences that help customers make decisions instead of adding a generic chatbot to an ecommerce site.

Read the guide →

9 min read

D2C Growth Strategy in India: Build the System Before Scaling Spend

A connected framework for D2C growth in India, from customer proposition and channel roles to conversion, retention, and commercial measurement.

Read the guide →

Questions before an engagement

Is this a chatbot project?

Not necessarily. The best interface may be conversational, embedded in product discovery, or a hybrid. We begin with the customer decision, not the format.

Can you build the production experience?

Yes, subject to the required catalog, model, platform, and commerce integrations. We can also deliver strategy and experience design for an internal engineering team.

Commerce audit

Find the constraint worth solving before you add more activity.

Request an audit