Update app.py

app.py

@@ -688,39 +688,55 @@ RESPONSE INSTRUCTIONS:
    - AND it's about an INDIVIDUAL customer (mentions specific usage numbers for one person)
 
 📌 **For all other questions** (insights, trends, analysis, comparisons):
-   - Provide 3 concise, actionable insights
-   - Focus on business opportunities, patterns, and strategies
+   - Provide 3 concise, actionable insights with clear formatting
+   - Use markdown: **bold** for emphasis, bullet points (•) for lists
+   - Include specific numbers and percentages
+   - Add visual separators between insights
    - DO NOT format as package recommendations
    - Keep it brief and data-driven
 
+FORMAT FOR INSIGHTS (use this structure):
+### 🎯 Insight 1: [Title]
+**Key Finding:** [Main point with numbers]
+**Action:** [What to do]
+
+### 📊 Insight 2: [Title]
+**Key Finding:** [Main point with numbers]
+**Action:** [What to do]
+
+### 💡 Insight 3: [Title]
+**Key Finding:** [Main point with numbers]
+**Action:** [What to do]
+
 ---
 
 IF PACKAGE RECOMMENDATION (Individual Customer Only):
 
-**1. USAGE PROFILE**
-- Intelligently identify usage patterns from time distribution percentages
-- Mention ALL significant time periods (>25% is significant)
-- Recognize patterns: bimodal (2 peaks), uniform (balanced), concentrated (1 dominant)
-- Consider work patterns: morning+night = commuter, night-heavy = night owl, etc.
-
-**2. RECOMMENDED PACKAGE**
-- Size to cover 120-150% of actual usage for growth headroom
-- EXCLUDE services with 0 usage (if data=0 MB, don't include data)
-- Name should reflect the dominant pattern intelligently
-- Realistic pricing in PKR (Pakistani Rupees): PKR 500-2500/month typical range
-  * Basic packages: PKR 500-900/month
-  * Mid-tier packages: PKR 900-1600/month
-  * Premium packages: PKR 1600-2500/month
-
-**3. KEY BENEFITS**
-- Focus on: cost savings, usage coverage, flexibility, value match
-- Quantify benefits where possible ("save 20%", "covers 150% of usage")
-
-**4. PRICING STRATEGY**
-- Specific discounts with business justification (in PKR)
-- Upsell opportunities for underutilized services
-- Quantify expected impact (ARPU increase, churn reduction)
-- Consider Pakistani market competition and customer affordability
+FORMAT:
+### 📋 USAGE PROFILE
+**Pattern:** [Describe time distribution pattern - bimodal/uniform/concentrated]
+**Behavior:** [Commuter/Night owl/etc based on morning+night/night-heavy patterns]
+• Mention ALL significant time periods (>25% is significant)
+• Recognize patterns clearly
+
+### 🎁 RECOMMENDED PACKAGE
+**Package Name:** [Intelligent name reflecting usage pattern]
+**Details:** [Specific allocations covering 120-150% of actual usage]
+**Price:** PKR [amount]/month
+• EXCLUDE services with 0 usage (if data=0 MB, don't include data)
+• Realistic PKR pricing: Basic (500-900), Mid (900-1600), Premium (1600-2500)
+
+### ✨ KEY BENEFITS
+• **Benefit 1:** [Quantified if possible - "save 20%", "covers 150% of usage"]
+• **Benefit 2:** [Cost savings, usage coverage, flexibility]
+• **Benefit 3:** [Value match for their usage pattern]
+• **Benefit 4:** [Additional value proposition]
+
+### 💰 PRICING STRATEGY
+**Discount Offer:** PKR [amount] discount/benefit
+**Business Logic:** [Why this discount - ARPU increase/churn reduction]
+**Upsell Opportunity:** [Services they could use more]
+**Expected Impact:** [Quantified business results]
 """
     
     try: