CASE STUDIES

AI-Powered Request & Quotation Platform

A smart AI assistant that captures customer requests, asks the right questions, calculates pricing in real time, and turns complex service inquiries into structured offers.


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UX / UI design | Conception | Technical concept | training | Provessive web app platform planning

AI-Powered Request & Quotation Platform

Case Study

AI-Powered Request & Quotation Platform

We developed a smart AI assistant that guides users through complex service requests, asks the right follow-up questions, calculates pricing in real time, and turns conversations into structured offers ready for internal review and approval.

Geniessmi overview or AI assistant interface
AI-Guided Customers are guided step by step through their request.
Real-Time Pricing, quantities, and service logic are processed instantly during the conversation.
Structured Unstructured customer requests become clear, reviewable offers.

The Challenge

Traditional request handling is slow, manual, and inconsistent. Customers often don’t know what information is needed, while companies waste time clarifying details, calculating options, and manually preparing offers.

The Solution

We built an AI-driven platform that interacts naturally with customers, understands their needs, captures relevant data, suggests suitable services, calculates pricing transparently, and moves requests into a controlled approval workflow.

Chatbot flow Chatbot interaction

What Makes This Platform Valuable

Conversation Instead of Forms Users simply describe what they need instead of filling out rigid forms.
Dynamic Service Suggestions Relevant services are suggested based on context like event type and number of guests.
Transparent Pricing Logic Discounts, surcharges, and totals are calculated and clearly explained during the process.
Approval-Ready Workflow Requests move seamlessly from conversation to review, approval, and document creation.
1. Customer starts a request
2. AI asks the right follow-up questions
3. Services and pricing are suggested in real time
4. Request is submitted for internal review
5. Admin reviews or adjusts the offer
6. Final offer is sent to the customer

Result

The result is a modern AI-powered platform that reduces manual effort, improves the customer experience, and transforms complex requests into structured, efficient business processes.

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