What if your CRM could analyze historical patterns, customer engagement signals, and activity data to tell you the most effective next step to achieve your goal?
That’s exactly what Next Best Action does.
Next Best Action by Inogic brings AI-powered recommendations to Microsoft Dynamics 365, helping sales and service teams take the most effective next step based on historical CRM data, engagement signals, and proven success patterns.
Instead of manually analyzing dashboards or guessing what to do next, users receive intelligent recommendations directly inside Dynamics 365.
Why Businesses Need Next Best Action
Modern teams handle hundreds of leads, opportunities, and cases daily. Prioritizing them correctly is difficult.
According to industry research:
- 79% of leads never convert due to lack of proper follow-up
- 44% of salespeople give up after just one follow-up
- Companies using AI-driven sales recommendations see up to 30% higher win rates
- Businesses using predictive analytics increase productivity by 21%
The problem isn’t data availability, it’s decision fatigue.
Next Best Action solves this by guiding CRM users toward the right action at the right time.
What is Next Best Action in Microsoft Dynamics 365?
Next Best Action is an AI-powered recommendation engine for Microsoft Dynamics 365 and Dataverse that suggests the most effective next step for leads, opportunities, cases, or any custom entity.
Powered by Microsoft Azure AI, it analyzes:
- Historical CRM data
- Activity patterns
- Customer engagement signals
- Defined success outcomes
- Communication trends
Based on this analysis, the system delivers real-time, contextual recommendations directly inside CRM forms.
These recommendations help users:
- Prioritize high-value opportunities
- Improve follow-up consistency
- Increase customer engagement
- Reduce deal stagnation
- Improve service resolution times
Key Features of Next Best Action
1. Context-Aware AI Recommendations
Next Best Action continuously monitors CRM activities, engagement signals, and record changes to generate real-time recommendations.
Instead of manually analyzing dashboards, the system detects signals automatically.
Example
A lead sends an inquiry about cloud migration.
Next Best Action immediately recommends:
“Schedule a discovery call within 24 hours to discuss requirements.”
Why this matters:
- Similar leads historically converted after quick follow-ups
- Early engagement increases conversion probability
This ensures no opportunity slips through the cracks.
2. Next Best Action Activity Cards
Recommendations appear as interactive activity cards directly inside CRM forms.
Each card provides actionable information including:
- Recommended action
- Related record information
- Activity type
- Due date
- Priority level
- Confidence score
- AI explanation
Example Card
Recommended Action:
Follow up with Prospect regarding product demo
Details:
- Contact: Jane Doe
- Company: Acme Corp
- Activity Type: Phone Call
- Priority: High
- Confidence Score: 92%
AI Reasoning:
“Prospect viewed the product demo last week and has not responded to the follow-up email.”
Users can:
- Take Action
- Mark Complete
- Dismiss
- Undo
This makes recommendations transparent, actionable, and easy to execute.
3. Personalized Recommendations Based on Historical Success
Next Best Action learns from past CRM outcomes.
It analyzes:
- Won deals
- Lost deals
- Case resolution patterns
- Customer satisfaction trends
- Successful engagement sequences
The AI then replicates proven success patterns.
Example
If most successful deals historically involved:
- Demo
- Proposal
- Follow-up call within 3 days
The system recommends that sequence for similar opportunities.
This transforms tribal sales knowledge into scalable intelligence.
4. Optimal Timing Prediction
Timing can make or break engagement.
Next Best Action predicts the best time to contact prospects based on historical behavior.
Example
If a prospect historically:
- Opens emails on Tuesday mornings
- Responds to calls in the afternoon
The system recommends contacting them during those windows.
Benefits include:
- Higher email open rates
- Faster response times
- Better engagement
5. Next Best Action Digest
Users receive a daily or weekly digest email summarizing recommended actions.
The digest includes:
- Top priority recommendations
- Due dates
- Confidence scores
- Quick action links
This helps teams plan their workload efficiently and focus on high-impact tasks.
6. Explainable AI
One major barrier to AI adoption is lack of transparency.
Next Best Action solves this with Explainable AI.
Every recommendation includes a clear explanation of:
- Why the action was suggested
- Which signals triggered it
- Historical patterns supporting it
- Model confidence score
Example explanation:
“Recommended because engagement increased recently, opportunity stage changed, and similar deals historically closed after timely follow-ups.”
This builds trust and confidence in AI-driven decisions.
Real-World Use Cases
Sales Teams
AI recommends the next step to move deals forward.
Example:
Send proposal → Schedule follow-up call → Offer demo.
Customer Service Teams
AI recommends escalation or response actions for cases approaching SLA breaches.
Example:
Escalate case to senior agent or schedule urgent resolution call.
Marketing Teams
AI identifies engagement signals and recommends personalized follow-ups.
Example:
Send a targeted campaign email after webinar attendance.
Frequently Asked Questions
What is a Next Best Action in CRM?
Next Best Action is an AI-powered recommendation that suggests the most effective next step for a lead, opportunity, or case based on historical data, engagement signals, and success patterns. It helps CRM users prioritize actions that are most likely to achieve their goals.
How does AI recommend the next best action?
AI analyzes CRM data such as activity history, engagement patterns, deal outcomes, and success criteria. By identifying patterns in successful interactions, it predicts which action is most likely to produce a positive outcome.
Can AI help prioritize sales leads in Dynamics 365?
Yes. Next Best Action evaluates historical conversions, engagement levels, and customer signals to prioritize leads and recommend the most effective follow-up actions, helping sales teams focus on high-value opportunities.
How does Next Best Action improve sales performance?
By recommending timely follow-ups, optimal engagement channels, and proven action sequences, Next Best Action helps sales teams increase win rates, accelerate deal cycles, and prevent opportunities from going cold.
Wrapping Up
Modern CRM systems provide data, but businesses need actionable guidance. Next Best Action brings AI-powered intelligence to Microsoft Dynamics 365, helping teams identify the most effective next step based on real engagement signals and historical success patterns.
By recommending the right action at the right time, it helps organizations improve productivity, increase conversions, and deliver better customer experiences.
Ready to make smarter decisions inside your CRM?
Next Best Action for Microsoft Dynamics 365 helps your teams prioritize opportunities, follow up at the right time, and close deals faster with AI-powered recommendations.
Download Next Best Action today and start your 15-day free trial to experience AI-driven CRM guidance.