CLIENT PROOF / 001
From enquiry friction to a guided buying flow.
IXNEURA built a deployed enquiry and buying-assistance system for Shobhini by Tini Komal. AI helps prepare the conversation. The styling team stays involved when human judgment is needed.
Read-only system overview · Demo with fictional customer data
THE OPERATIONAL CHANGE
Context before the handoff.
The buying enquiry moves forward with useful context for both the customer and the team.
The workflow before
A lead arrived through an ad or organically. The styling team replied manually, sometimes at a different time from when the buyer was available. Several messages were often needed to understand the request, purchase intent and requirements.
Ad / organic
A customer discovers the business.
Customer enquiry
The buyer reaches out with a question.
Manual reply
The styling team responds when available.
Several context messages
Requirements and purchase intent emerge through conversation.
Intent understood
The team assesses what the buyer needs and whether the enquiry appears qualified.
Styling team
The next useful action becomes clear.
What changed
AI can assist as an enquiry arrives, guide the buying conversation and keep lead information structured. The team can pick up the next step with the conversation context already available.
Ad / organic → enquiry
The system captures the incoming lead.
Immediate AI assistance
AI can respond when the enquiry arrives.
Context + intent
Requirements and buying intent inform structured lead information.
Buying guidance
Product discovery and recommendations help the buyer explore options.
Lead classification
Context and scoring help surface the next step, including “Ready to buy”.
Human handoff
The team takes over for payment, order completion or a human decision, with context available.
ASSISTANCE + HUMAN JUDGMENT
What the system does.
For Shobhini by Tini Komal, the workflow connects lead capture, enquiry interpretation, intent identification, product guidance, structured lead updates and classification. It preserves context so the team can understand what the buyer needs without rediscovering the whole conversation.
A useful next step for the styling team.
A high-intent enquiry can be marked “Ready to buy”. When a buyer needs payment assistance, order completion, final buying support or a human decision, the conversation can pass to the team with useful context. Classification supports judgment; it can still need human review.
CLIENT REVIEW / EXTERNAL PROOF
Client review.
Client feedback on the project delivered through Fiverr.
It was great working with the developer, they did deliver what they promised, considering this a complex project the timeline was also expected, a lot of time the delay was because of our end also. Over all very satisfied.
Vivek SinghaniaCo-founder, Shobhini by Tini Komal ↗Fiverr account: viveksinghania1 · India · 5/5
INSPECT THE IMPLEMENTATION
Explore the system.
Open the read-only overview of the system IXNEURA built for Shobhini by Tini Komal. Inspect how enquiry context, lead information and the team handoff fit together.
The public demo uses fictional customers and simulated delivery. Sending and editing are disabled.
Explore the Shobhini systemSTART WITH THE BUSINESS PROBLEM
What could work better?
Bring the messy workflow. We’ll help you find the right next step.