2.8 KiB
2.8 KiB
Improvements Delivered:
| # | Requirement | What Was Done |
|---|-------------|---------------|
| 1 | Richer multi-turn WhatsApp threads | Messages expanded from 3,367 → 6,944 (+106%). Persona-aware dialogue (7 buyer personas) with contextual project references, price discussions, objection handling, and natural conversation flow. Average messages per thread increased from 5.5 to 11.5. |
| 2 | Call objection extraction | New
intel_call_objections.csv — 344 structured objections across 12 types (price_too_high, location_concerns, possession_delay, layout_vastu_issues, financing_difficulties, competitor_comparison, etc.) with severity, status, agent response, resolution strategy, and confidence scores. |
| 3 | Visit outcome detail | intel_visits.csv enriched with 12 new fields: outcome_type, visit_duration_minutes, interest_signals, interest_score, companion_type, companion_count, objections_raised, follow_up_required, next_steps, broker_notes, and broker ownership. |
| 4 | Explicit extracted-facts tables | New intel_extracted_facts.csv — 1,686 structured facts from interactions across 18 fact types (budget_stated, timeline_stated, configuration_preferred, facing_preferred, financing_method, competitor_mentioned, etc.) with confidence scores and source context. |
| 5 | Interaction-level sentiment/intent | intel_interactions.csv enriched with: sentiment (5 labels + numeric score), intent_label (14 categories), emotion_tags (14 emotions), and client_engagement_level (5 tiers) on all 1,897 interactions. |
| 6 | Broker ownership on every interaction | All interactions now have broker_id, broker_name, broker_team. 5-broker pool (Vikram, Priya, Ananya, Rahul, Sonal) with specializations mapped consistently across all 31 tables. |
| 7 | Materialized read models | Two new tables: read_last_contacted.csv (250 records with days_since_contact, interaction counts for 7/30/90 days) and read_next_best_action.csv (250 records with recommended_action, priority, due_within_days, rationale using 12 business rules). |
Bonus enrichments:
- Transcripts enriched with call_outcome, follow_up_required, emotion_tags, call_summary
- Calls enriched with objection_tags, outcome_summary, follow_up_actions, call_quality_score
- QD Scores enriched with score_drivers (weighted), trend_direction, natural language explanation, confidence
- Emails enriched with sentiment, intent_label, engagement_score, response_expected
- Reminders enriched with context_snippet, completion_percentage, overdue_days, outcome_notes
- New table: intel_email_threads.csv (47 threaded conversations)
- JSON snapshots v2.0 with last_contacted, next_best_action, extracted_facts, broker context, sentiment per interaction
- Full referential integrity maintained — zero orphaned records