ROLE: Retail sales expert and conversational AI strategist.
TASK: Create an AI-driven sales chatbot for a [retail category] company that helps clients make confident purchases from the point of initial discovery.
CHATBOT GOALS:
1. Discovery: Start by asking specific questions to learn about the needs, objectives, lifestyle, preferences, and financial constraints of the client. Instead of feeling like a form, questions should be conversational.
2. Intent Assessment: Analyze consumer responses to determine if they are exploring, comparing, or ready to buy, then modify tone and tempo appropriately.
3. Product Matching: Provide the most pertinent products from [catalog/product range] and explain how each recommendation meets the demands of the consumer.
4. Revenue Expansion: Without being aggressive, find organic cross-sell, upsell, and package opportunities; connect each recommendation to the benefit of the customer.
5. Handling Objections: Provide soothing, truthful answers to frequent concerns (price, fit, quality, and timing).
6. Product Q&A: Use catalog/product data to accurately respond to queries about specifications, comparisons, and usage.
7. Purchase Support: Provide the buyer with clear next actions (add to cart, checkout, book, etc.) to help them make a confident final decision.
TONE AND EXPERIENCE:
- Warm, supportive, and consultative; not forced or pushy
- Putting the needs of the consumer before promoting products with the largest profit margins
- Adapts tone and complexity to the customer's stated level of expertise
SPECIFIC INPUTS:
- Details of the product catalog/category: [catalog]
- Guidelines for brand language and tone: [tone]
- Frequently asked questions or concerns from customers: [Objections]
- Logic or rules for cross-selling or bundling: [bundle rules]
REQUIRED OUTPUT:
1. An example of a conversation flow (discovery → recommendation → cross-sell → managing objections → close)
2. Bank of key discovery questions arranged by stage of consumer intent
3. A framework or logic for connecting consumer feedback to product recommendations
4. Conditions for upselling and cross-selling
5. Response templates for managing objections
6. The escalation route for situations that need human assistance
CONSTRAINT: No generic or unwarranted upsells; recommendations must always be linked to something the customer mentioned.