50+ Features • AI-Powered CRM Platform

CRM+ Technical Guide

Complete Customer Relationship Management

Comprehensive CRM platform with AI-powered filtering, lead scoring (GPT-5), deal pipeline management, call transcription, batch operations, multi-CRM import (Salesforce/HubSpot), role-based permissions, and advanced reporting.

Core CRM+ Modules

AI-Powered Filtering

Natural language search across all CRM entities. Ask "show me hot leads from tech companies" and AI understands. Activity-based filtering with context awareness.

Natural language queries

Universal search (leads, contacts, deals)

Activity-based filtering

Context-aware AI (Gemini 2.0)

Filter caching for performance

Complex query support

Lead Management

Complete CRUD operations with advanced filtering, conversion workflows, and AI-powered lead scoring. Multi-user assignment and bulk operations supported.

Create/Read/Update/Delete

Lead status tracking

Priority levels (hot/warm/cold)

Lead source attribution

Conversion to contact/deal

Multi-user assignment

Bulk operations

Lead scoring integration

Deal Pipeline

Visual deal tracking with customizable stages, AI-powered close probability (85% accuracy), risk/success factors, and pipeline analytics. Drag-and-drop stage management.

Visual pipeline board

Customizable stages

AI close probability

Risk factor analysis

Success factor identification

Deal value tracking

Stage progression history

Win/loss analysis

Contact & Account Management

Comprehensive customer data management with relationship tracking, account hierarchies, and contact-to-account linking. Custom fields and data quality monitoring.

Contact database

Account hierarchies

Relationship mapping

Custom fields

Data quality checks

Duplicate detection

Contact-to-account linking

Activity history

AI Task Management

Natural language task creation: "Call John tomorrow at 2pm" → AI extracts all details. Entity integration, priority management, and workload distribution.

Natural language creation

AI date/time parsing

Entity linking (leads/deals)

Priority levels

Status tracking

Assignment to team

Workload analytics

Overdue detection

Lead Scoring System

Multi-model AI scoring (rule-based, ML predictive, hybrid). Real-time calculations on CRM actions. 85%+ prediction accuracy for lead quality.

AI-enhanced scoring (GPT-5)

Rule-based models

ML predictive models

Hybrid scoring

Real-time calculations

Performance tracking

Model accuracy monitoring

Score history

Call Logging & Transcription

AI-powered call recording, transcription (Gemini 2.0), sentiment analysis, key topics extraction, and action item identification. Seamless activity integration.

Audio upload (MP3/WAV)

AI transcription (Gemini)

Sentiment analysis

Topic extraction

Action item detection

Call statistics

Participant analysis

Activity integration

Batch Operations

Multi-select with Ctrl/Cmd+Click, range selection with Shift+Click. Bulk duplicate, export, archive, delete, and email. Keyboard shortcuts supported.

Multi-select (Ctrl/Shift)

Bulk duplicate

Mass export

Batch archive/delete

Email integration

Keyboard shortcuts

Visual selection feedback

Smart confirmations

Technical Architecture

Frontend Technology Stack

Core Framework

• React 18 with TypeScript

• React Query for state management

• React Router for navigation

• Tailwind CSS for styling

• Lucide Icons for UI elements

Data Management

• React Query for server state

• Optimistic UI updates

• Automatic cache invalidation

• Real-time data sync

• Offline support with retry

UI Components

• Modular component architecture

• Form validation with real-time feedback

• Loading states (spinner, skeleton, dots)

• Error boundaries with retry

• Responsive design (mobile-first)

User Experience

• Guided onboarding tour (react-joyride)

• Keyboard shortcuts (Ctrl/Cmd+S, etc.)

• Drag-and-drop interfaces

• Context menus and tooltips

• Auto-save every 30 seconds

Backend Technology Stack

Core Services

• Node.js with Express

• TypeScript for type safety

• Supabase (PostgreSQL)

• JWT authentication

• RESTful API architecture

AI Integration

• OpenAI GPT-5 for lead scoring

• Google Gemini 2.0 Flash for filtering

• Gemini for transcription & analysis

• Context-aware AI prompts

• Streaming responses for speed

Security & Permissions

• Row-level security (RLS)

• Company-scoped data isolation

• Role-based access control (RBAC)

• Action-level permissions

• Audit trails for compliance

Performance

• Query caching for filtering

• Indexed database queries

• Async event-driven scoring

• Batch processing for bulk ops

• Smart query optimization

Database Schema

Core Tables

• crm_leads - Lead management with scoring

• crm_contacts - Customer contact info

• crm_accounts - Company/organization data

• crm_deals - Sales pipeline deals

• crm_activities - All CRM interactions

Feature Tables

• crm_tasks - Task management with AI

• crm_lead_scores - AI scoring data

• crm_deal_probabilities - Close predictions

• crm_scoring_models - Model configurations

• crm_alerts - Custom alert definitions

Call System Tables

• call_recordings - Audio files metadata

• call_transcriptions - AI transcripts

• call_analysis - Sentiment & insights

• call_participants - Call attendees

Junction Tables

• crm_lead_assignees - Multi-user assignment

• crm_deal_assignees - Deal owner tracking

• user_roles - Role-based permissions

• team_members - Team management

Advanced Features

Multi-CRM Import

OAuth-based integration with Salesforce and HubSpot. One-click import of leads, contacts, deals, activities. Data mapping and deduplication.

Salesforce OAuth

HubSpot OAuth

Data mapping wizard

Duplicate detection

Batch import

Import history tracking

Role-Based Permissions

Company-scoped roles with action-level permissions (create, read, update, delete, assign, export, convert). Admin, manager, and user roles.

Company-scoped roles

Action-level permissions

Admin/Manager/User roles

Custom role creation

Permission enforcement

Audit logs

Custom Alerts & Monitoring

Natural language alerts ("Notify when deal > $50k"). Data quality monitoring (missing emails, duplicates). Real-time alert testing.

Natural language alerts

Data quality checks

Missing field detection

Duplicate identification

Alert testing

Multi-channel notifications

Advanced Reporting

Sales reports (won/lost, conversion rates), pipeline analytics, activity metrics. CSV export with field selection. Scheduled report delivery.

Sales analytics

Pipeline visualization

Activity tracking

Custom report builder

CSV/Excel export

Scheduled delivery

Common Use Cases

Lead Qualification

AI scores incoming leads automatically. Sales team focuses on hot leads first. 40% faster qualification process.

Deal Forecasting

AI predicts deal close probability with 85% accuracy. Risk factors identified early. Better pipeline management.

Call Intelligence

Transcribe sales calls automatically. Extract action items and sentiment. Never miss follow-ups.

Bulk Operations

Update 100+ leads at once. Mass export for reporting. Archive completed deals in bulk.

Multi-Team Collaboration

Assign leads to multiple reps. Team-based visibility. Performance tracking per user.

CRM Migration

Import from Salesforce/HubSpot with one click. Automatic data mapping. Preserve historical data.

API Endpoints Reference

Core CRUD Operations

GET /crm/leads

POST /crm/leads

PUT /crm/leads/:id

DELETE /crm/leads/:id

GET /crm/contacts

POST /crm/contacts

GET /crm/deals

POST /crm/deals

AI & Advanced Features

POST /crm/natural-language-filter

POST /crm/tasks/ai-create

GET /crm/lead-scores/:leadId

POST /crm/calculate-close-probability

POST /call-transcription

GET /crm/ai-analysis

POST /crm/alerts

GET /crm/reports/sales

Frequently Asked Questions

How does AI-powered filtering work?

Natural language processing powered by Google Gemini 2.0 Flash. You type "show me hot leads from tech companies contacted last week" and AI translates to structured query. Supports complex filters, date ranges, activity-based filtering, and context awareness. Results cached for performance.

Can I import data from Salesforce or HubSpot?

Yes! One-click OAuth integration with Salesforce and HubSpot. Import leads, contacts, deals, activities, and custom fields. Automatic data mapping with duplicate detection. Preserves historical data and relationships. Import status tracked in real-time.

How accurate is the AI lead scoring?

85%+ accuracy using GPT-5 AI models. Analyzes 20+ factors: engagement history, company size, industry fit, buying signals, email opens, response rates. Models retrain weekly with actual conversion data. Supports custom scoring models per business.

Does CRM+ support multi-user teams?

Yes! Role-based permissions (admin, manager, user), team-based visibility, multi-user lead/deal assignment, workload distribution, performance tracking per rep, and company-scoped data isolation. Perfect for sales teams of any size.

Can I customize the deal pipeline stages?

Absolutely! Create custom stages, set probability ranges, define stage requirements, reorder with drag-and-drop, archive old pipelines. AI automatically adjusts close probability based on historical stage conversion rates.

How does call transcription work?

Upload call recordings (MP3/WAV). AI (Gemini 2.0) transcribes audio to text with speaker identification. Extracts sentiment, key topics, action items, and follow-up suggestions. Integrates with CRM activities. Searchable transcript history.

Can I bulk update multiple leads at once?

Yes! Multi-select with Ctrl/Cmd+Click or Shift+Click for range selection. Bulk operations: update status/priority, assign to users, archive, delete, export to CSV, send mass emails. Supports 1000+ records at once with batch processing.

Is CRM+ data secure and compliant?

Yes! follows SOC 2 standards, GDPR compliant, row-level security (RLS) with company isolation, encrypted at rest and in transit (TLS 1.3), audit logs for all actions, role-based access control, and 2FA support. Bank-level security.

AI Lead Scoring System

Multi-Model Scoring (85% Accuracy)

Scoring Models Available

AI-Enhanced (GPT-5)

Uses GPT-5 to analyze 20+ factors including engagement history, company size, industry fit, buying signals

Accuracy: 85%

Rule-Based

Traditional rule-based scoring with customizable point values per criteria (company size, title, etc.)

Accuracy: 70%

ML Predictive

Machine learning model trained on historical conversion data. Learns from actual wins/losses

Accuracy: 80%

Hybrid

Combines AI, rules, and ML for maximum accuracy. Weighted average of all models

Accuracy: 88%

20+ Scoring Factors

Email engagement (opens, clicks)

Website visit frequency

Content downloads

Response time to emails

Company size (employees)

Industry vertical fit

Job title/seniority

Budget authority

Time since last contact

Number of touchpoints

LinkedIn activity

Demo requests

Pricing page views

Competitor mentions

Urgency signals in communications

Real-Time Recalculation

Lead scores automatically recalculate whenever CRM actions occur: email sent, call logged, deal created, activity added. Asynchronous event-driven architecture ensures scores stay current without impacting UI performance.

Email Sent

→

Event Triggered

→

Score Recalculated

• Sub-second score updates (asynchronous)

• Smart caching to prevent duplicate calculations

• Monthly model retraining with conversion data

• A/B testing different scoring models

• Historical score tracking and trends

AI Call Transcription System

Gemini 2.0 Powered Transcription

Upload & Transcription

Upload call recordings (MP3, WAV, M4A). AI (Gemini 2.0 Flash) transcribes audio to text with speaker identification. Processing time: 30 seconds per minute of audio. Supports 50+ languages.

• Audio upload (MP3, WAV, M4A formats)

• File size limit: 50MB per recording

• Speaker diarization (identifies who spoke)

• Timestamp precision (second-level)

• Multi-language support (50+ languages)

• Transcript confidence scoring

AI Analysis & Insights

After transcription, AI analyzes call content to extract sentiment, key topics, action items, objections, buying signals, and follow-up suggestions. Results stored with call record.

Sentiment Analysis

• • Overall call sentiment (positive/neutral/negative)
• • Sentiment timeline (per minute)
• • Customer satisfaction indicators
• • Frustration point detection

Key Extraction

• • Topics discussed (product features, pricing)
• • Action items with assignees
• • Objections raised by prospect
• • Buying signals identified

Integration with Activities

Calls automatically added to CRM activity timeline. Linked to leads, contacts, deals. Searchable transcripts. Share recordings with team. Coach agents based on call analysis.

• Auto-create activity record on upload

• Link to relevant lead/contact/deal

• Full-text search across all transcripts

• Share recordings with team (permission-based)

• Coaching insights for managers

• Call statistics (duration, participants, outcome)

Integration Workflows

Salesforce Import Workflow

1. OAuth authentication
2. Select objects (Leads, Contacts, Opportunities)
3. Map fields to CRM+ schema
4. Review duplicate detection rules
5. Start import (background job)
6. Monitor progress in real-time
7. Review import summary & errors

Lead → Contact Conversion

1. Qualify lead (status: qualified)
2. Click "Convert to Contact"
3. AI suggests company match or new account
4. Choose to create deal (optional)
5. Review pre-filled contact data
6. Save (lead marked converted)
7. Contact created with full history

Deal Probability Workflow

1. Create or update deal
2. Backend triggers probability calculation
3. GPT-5 analyzes deal context
4. Extracts risk factors (budget unclear)
5. Identifies success factors (champion identified)
6. Calculates probability (0-100%)
7. Stores in crm_deal_probabilities table

Batch Email Campaign

1. Select leads with Ctrl/Cmd+Click
2. Click "Email" in batch toolbar
3. Email composer opens with recipients
4. Compose message or use template
5. AI personalizes per recipient (optional)
6. Send to all or schedule
7. Track opens/clicks in activities

Performance & Optimization

Scalability & Speed

Query Optimization

• Database indexes on frequently queried fields (email, company, status)

• Query result caching for AI natural language filters (1 hour TTL)

• Pagination for large datasets (100 records per page)

• Virtual scrolling in UI (renders only visible rows)

• Lazy loading of activity timeline (on-demand)

• Batch API requests for bulk operations

Async Processing

Heavy operations run asynchronously to avoid blocking UI: lead scoring calculations, deal probability analysis, batch imports, AI filtering. Background job system with status tracking.

Async Operations

• • Lead scoring (30-60s)
• • Deal probability (10-20s)
• • Batch imports (varies)
• • AI natural language filtering
• • Call transcription

Benefits

• • UI stays responsive
• • User can continue working
• • Real-time progress updates
• • Automatic retry on failure
• • Job status tracking

Scalability

Records Supported

1M+ per company

Concurrent Users

500+ simultaneous

API Response Time

<200ms p95

Batch Operations

10,000 records

Data Retention

Unlimited history

Uptime SLA

99.9%

Security & Compliance

Enterprise-Grade Security

Data Protection

• Row-level security (RLS) in PostgreSQL

• Company-scoped data isolation

• Encryption at rest (AES-256)

• Encryption in transit (TLS 1.3)

• Regular security audits

• Penetration testing (annual)

Compliance

• follows SOC 2 standards

• GDPR compliant (data privacy)

• HIPAA ready (healthcare)

• CCPA compliant (California)

• follows ISO 27001 standards

• Annual compliance audits

Access Control

• Role-based access control (Admin, Manager, User)

• Action-level permissions (create, read, update, delete, assign, export)

• 2FA support via authenticator apps

• IP whitelisting for enterprise

• Session timeout after 24 hours inactivity

• Audit logs for all user actions (7-year retention)

Advanced Workflows

Complete Lead-to-Deal Workflow

End-to-end process from lead capture to closed deal

1. 1. Lead captured via form/import → Auto-assigned to rep based on territory
2. 2. AI scores lead (0-100) within 60 seconds → Hot leads (80+) flagged
3. 3. Rep qualifies lead via calls/emails → Activities logged automatically
4. 4. Convert qualified lead to Contact → Company created or matched
5. 5. Create Deal with AI-suggested amount → Stage: Qualification
6. 6. Move deal through pipeline stages → AI updates close probability
7. 7. Address risk factors flagged by AI → Document in deal notes
8. 8. Close deal (Won/Lost) → AI analyzes for model improvement
9. 9. Deal data syncs to reporting → Revenue recognized in Finance+

Multi-CRM Data Migration

Import and merge data from Salesforce & HubSpot

1. 1. Connect Salesforce via OAuth → Authorize read access
2. 2. Select objects to import (Leads, Contacts, Opportunities)
3. 3. Map fields to CRM+ schema → Review auto-suggestions
4. 4. Configure duplicate detection rules (email exact match)
5. 5. Start import (background job) → Monitor real-time progress
6. 6. Review import summary (success/errors/duplicates merged)
7. 7. Repeat for HubSpot → Additional OAuth authorization
8. 8. Dedup across both imports → Manual review conflicts
9. 9. Verify data integrity → Spot check random sample
10. 10. Archive old CRM or keep syncing (two-way optional)

Troubleshooting Guide

❌ Leads not appearing after import

✓ Solution: Check import status in /crm/import-history. Verify OAuth token not expired. Review duplicate detection rules (may have merged). Check RLS permissions for company isolation.

❌ AI lead scoring showing N/A

✓ Solution: Scores calculate asynchronously (30-60s). Refresh page. Check lead has minimum required fields (email, company). Verify scoring model is active in settings.

❌ Natural language filter not working

✓ Solution: AI requires specific syntax. Try: "show leads from tech companies contacted last week". Avoid overly vague queries. Check filter cache (auto-clears after 1 hour).

❌ Batch operations timing out

✓ Solution: Limit selections to <1000 records. Use filters to narrow dataset first. Batch operations run in background for >100 records. Check job status in /crm/jobs.

❌ Call transcription failed

✓ Solution: Supported formats: MP3, WAV, M4A. Max size: 50MB. Audio quality must be >32 kbps. Check audio file is not corrupted. Try re-uploading.

Implementation Guide

CRM+ Onboarding Phases

Phase 1: Setup & Configuration (Week 1)

• 1

  Create company account and invite team members

• 2

  Configure user roles (Admin, Manager, User)

• 3

  Set up custom fields for leads/deals/contacts

• 4

  Define deal pipeline stages and probabilities

• 5

  Configure lead sources and status values

• 6

  Connect email accounts (Gmail/Outlook)

• 7

  Set up territories and assignment rules

• 8

  Import existing data (CSV or Salesforce/HubSpot)

Phase 2: Data Import & Migration (Week 2)

• 1

  Connect Salesforce/HubSpot via OAuth

• 2

  Map fields from old CRM to CRM+

• 3

  Configure duplicate detection rules

• 4

  Start data import (background job)

• 5

  Review import summary and fix errors

• 6

  Manually dedup any conflicts

• 7

  Verify data integrity (spot check 10%)

• 8

  Archive old CRM once verified

Phase 3: AI Setup & Training (Week 3)

• 1

  Enable AI lead scoring (choose model)

• 2

  Train AI with historical conversion data

• 3

  Set up custom scoring factors

• 4

  Enable deal probability analysis

• 5

  Configure natural language filtering

• 6

  Test AI suggestions and provide feedback

• 7

  Set up custom alerts and monitoring

• 8

  Enable call transcription for team

Phase 4: Team Training & Launch (Week 4)

• 1

  Conduct team training sessions (2 hours)

• 2

  Provide guided tours for each user role

• 3

  Set up reporting dashboards per role

• 4

  Define team KPIs and metrics

• 5

  Launch pilot with 20% of team

• 6

  Gather feedback and adjust workflows

• 7

  Full team rollout and go-live

• 8

  Weekly check-ins for first month

Natural Language Filtering System

Gemini 2.0 Powered Filtering

How Natural Language Filtering Works

Type queries in plain English: "show me hot leads from tech companies contacted last week". Gemini 2.0 Flash translates natural language to structured database queries with filters, sorts, and joins.

Natural Language

→

AI Processing

→

SQL Query

→

Results

• Supports complex queries with multiple conditions

• Date/time parsing ("last week", "this month", "Q1 2026")

• Activity-based filtering ("contacted", "called", "emailed")

• Entity relationship queries ("deals > $50k with activity")

• Smart caching (1-hour TTL for identical queries)

• Context awareness (remembers previous filters)

Example Queries & Translations

Natural Language Query:

"show me hot leads from tech companies"

Generated SQL:

SELECT * FROM crm_leads WHERE priority = 'hot' AND industry LIKE '%tech%'

Natural Language Query:

"deals over $50k in closing stage"

Generated SQL:

SELECT * FROM crm_deals WHERE amount > 50000 AND stage = 'closing'

Natural Language Query:

"contacts not contacted in 30 days"

Generated SQL:

SELECT * FROM crm_contacts WHERE last_activity_date < NOW() - INTERVAL '30 days'

Natural Language Query:

"leads assigned to Sarah with status new"

Generated SQL:

SELECT l.* FROM crm_leads l JOIN crm_lead_assignees a ON l.id = a.lead_id WHERE a.user_name = 'Sarah' AND l.status = 'new'

AI Filter Architecture

Backend uses specialized filter service classes per entity (LeadFilterService, ContactFilterService, DealFilterService). AI analyzes query, determines entity type, extracts filter parameters, generates SQL, validates query safety, executes with RLS, and caches results.

Filter Service Classes

• • EntityFilterService (base)
• • LeadFilterService
• • ContactFilterService
• • DealFilterService
• • AccountFilterService
• • FilterServiceFactory

Safety Features

• • SQL injection prevention
• • Parameterized queries only
• • Company-scoped RLS enforcement
• • Query complexity limits
• • Timeout protection (10s max)
• • Result pagination (100 max)

Batch Operations System

Multi-Select & Bulk Actions

Selection Methods

Single Click

Select one record

Click row

Ctrl/Cmd + Click

Add to selection

⌘/Ctrl + Click

Shift + Click

Range selection

Shift + Click

Select All

Select page (100)

Header checkbox

Escape Key

Clear selection

Esc

Cross-Group

Select across tabs

Works globally

Available Bulk Actions

Bulk Duplicate

Clone selected records with one click. Useful for similar leads/contacts.

Limit: 100 at once

Mass Export

Export selected records to CSV with custom field selection. Scheduled exports available.

Limit: 10,000 at once

Batch Archive

Move completed/lost records to archive. Keeps main view clean. Reversible.

Limit: 1,000 at once

Bulk Delete

Permanent deletion with confirmation modal. Soft delete available (30-day recovery).

Limit: 500 at once

Mass Email

Send personalized emails to all selected. AI personalizes per recipient. Track opens/clicks.

Limit: 500 at once

Bulk Assignment

Assign multiple leads/deals to users/teams. Workload distribution. Permission-enforced.

Limit: 1,000 at once

Visual Feedback System

Selected rows highlighted with blue background and subtle ring. Floating batch actions toolbar appears at bottom of screen. Selection count displayed. Hover tooltips show keyboard shortcuts.

• Blue highlight on selected rows (rgba(59, 130, 246, 0.15))

• Subtle blue ring around selected items

• Floating toolbar with 6 action buttons

• Selection count badge (e.g., "5 selected")

• Hover tooltips with keyboard shortcuts

• Smooth animations on select/deselect

• Confirmation modals for destructive actions

• Success/error notifications after bulk operations

Reporting & Analytics

Comprehensive Analytics Dashboard

Sales Analytics

Key Metrics

• • Won deals (count & total value)
• • Lost deals (count & reasons)
• • Win rate percentage
• • Average deal size
• • Sales cycle length (days)
• • Revenue by source
• • Conversion rates (lead→deal→win)
• • Monthly recurring revenue (MRR)

Visualizations

• • Pipeline funnel chart
• • Revenue trend line
• • Deal stage distribution (pie)
• • Win/loss bar chart
• • Activity heatmap (by rep)
• • Forecast vs actual
• • Lead source attribution
• • Custom chart builder

Activity Metrics

Track all CRM activities: calls, emails, meetings, tasks, notes. Analytics by rep, team, time period. Identify top performers and coaching opportunities.

• Call volume & duration (per rep/team)

• Email sent/received counts

• Meeting frequency & attendance

• Task completion rates

• Response time analytics

• Activity by day/week/month trends

• Touchpoints per deal (correlation with wins)

• Rep productivity rankings

Export & Sharing

Export Options

• • CSV export (all data)
• • Excel export (formatted)
• • PDF reports (branded)
• • Custom field selection
• • Date range filtering
• • Scheduled exports (daily/weekly)

Sharing

• • Email delivery (attachments)
• • Slack/Teams integration
• • Embeddable dashboards (iframe)
• • Public share links (view-only)
• • API access for external BI
• • Webhook notifications

AI Task Management

Natural Language Task Creation

How AI Task Creation Works

Type: "Call John tomorrow at 2pm about the proposal" → AI extracts: action (Call), person (John), date (tomorrow), time (2pm), context (proposal). Task created automatically with all details.

Input: "Call John tomorrow at 2pm"

AI Parsed: Action: Call | Contact: John | Date: Tomorrow | Time: 14:00

Input: "Follow up with Acme Corp next week"

AI Parsed: Action: Follow up | Account: Acme Corp | Date: Next Monday | Priority: Normal

Input: "Send proposal by Friday urgent"

AI Parsed: Action: Send proposal | Due: This Friday | Priority: Urgent | Type: Email

Input: "Schedule demo with Sarah on Jan 15"

AI Parsed: Action: Schedule demo | Contact: Sarah | Date: 2026-01-15 | Type: Meeting

AI understands relative dates ("tomorrow", "next week", "in 3 days"), business hours context, priority keywords ("urgent", "high priority"), and links tasks to relevant CRM entities automatically.

Task Features

Status Management

• • Pending
• • In Progress
• • Completed
• • Cancelled
• • Overdue (auto-detected)

Priority Levels

• • Low
• • Medium
• • High
• • Urgent
• • AI-suggested priority

Entity Integration

• • Link to leads
• • Link to contacts
• • Link to deals
• • Link to accounts
• • Auto-link from context

Assignment

• • Assign to team members
• • Workload distribution view
• • Assignment notifications
• • Team task dashboard
• • Overdue alerts

Best Practices

Data Quality

• Complete all required fields for accurate scoring

• Use consistent naming conventions

• Remove duplicate records monthly

• Validate email addresses

• Update contact info regularly

Lead Management

• Respond to hot leads within 1 hour

• Use AI lead scoring to prioritize

• Convert qualified leads to contacts

• Track all touchpoints as activities

• Set follow-up tasks immediately

Deal Pipeline

• Update deal stages after each interaction

• Document next steps in deal notes

• Review AI close probability weekly

• Address risk factors proactively

• Set realistic close dates

Team Collaboration

• Assign leads based on territory/specialty

• Use internal notes for team updates

• Share winning call recordings

• Review pipeline in weekly meetings

• Celebrate closed deals publicly

Reporting & Analytics

• Export reports weekly for review

• Track conversion rates by source

• Monitor average deal cycle time

• Identify bottleneck stages

• Set KPIs per sales rep

AI Optimization

• Review AI scoring accuracy monthly

• Provide feedback on AI suggestions

• Use natural language filtering regularly

• Leverage call transcription insights

• Test custom alert rules before enabling

Start Using CRM+ Today

AI-powered customer relationship management with 50+ advanced features