AI & agentic commerce
Do not just add AI to the store. Make the commerce system AI-ready.
Prepare product data, search, policies, availability, APIs, guided shopping, and governed commerce actions for conversational discovery and AI-assisted buying.
Best first step
AI Commerce Readiness Audit
Start with diagnosis before implementation so the work is tied to the actual business constraint.
Assess AI-Commerce ReadinessThe problem
Why this becomes expensive if it is ignored.
A chatbot does not fix weak product data, inaccessible policies, unreliable inventory, poor search, or unsafe commerce actions. Those foundations must be designed first.
The outcome
What the business should understand or improve next.
A practical roadmap for AI-guided shopping, semantic discovery, catalog intelligence, and agent-ready commerce capabilities grounded in real business data.
You probably need this when
The symptoms already look familiar.
Your catalog is large and product discovery is difficult.
Customers use natural-language needs that keyword search handles poorly.
The business wants AI shopping without exposing unsafe actions.
Product data is inconsistent across channels and systems.
AI Commerce Readiness Audit
What we would inspect or map first.
The first step is designed to produce useful findings even before a larger implementation is agreed.
Related Drasped services
The implementation depends on what the diagnosis finds.
AI Commerce Readiness Audit