Inogic, a leading Microsoft Dynamics 365 ISV and Gold Partner, today announced the release of InoWiz, an embedded AI capability for Duplicate Merge in Dynamics 365 CRM within DeDupeD, designed to transform how organizations handle duplicate merge in Dynamics 365 CRM. As businesses struggle with growing customer data volumes and persistent duplicate records, InoWiz delivers intelligent, confidence-rated field suggestions directly within the merge process, helping teams improve Dynamics 365 data accuracy at scale.

Built into DeDupeD’s merge workflow, InoWiz eliminates guesswork from duplicate merge decisions by providing confidence scores, transparent rationale, and human-controlled AI recommendations for every field selection.

The Challenge: Duplicate Data Is Costing CRM Teams More Than Time

Duplicate records remain one of the biggest threats to CRM data quality. In Dynamics 365 environments, duplicate contacts, accounts, and leads often enter through web forms, data imports, migrations, and manual entry, silently damaging data integrity and creating missed follow-ups, conflicting sales activities, inaccurate reporting, and fragmented customer views.

Until now, even after organizations managed to identify duplicate Dynamics 365 records, the actual merge process remained highly manual. Users had to compare field values across multiple records one by one and decide which information to keep, often without a consistent or reliable methodology. The result was time-consuming merge decisions and inconsistent data quality outcomes across teams.

DeDupeD by Inogic has long helped organizations detect, merge, and prevent duplicate records in Dynamics 365 CRM at scale. With the launch of InoWiz, DeDupeD now brings AI directly into the duplicate merge workflow, helping users make faster, smarter, and more consistent merge decisions with confidence.

Introducing InoWiz: AI That Thinks Like Your Best Data Steward

InoWiz activates directly within DeDupeD’s merge screen — the most critical decision point in any deduplication workflow. When users initiate a merge of duplicate Dynamics 365 CRM records, InoWiz evaluates every conflicting field value across all selected records simultaneously. Using a configured Azure OpenAI model, it analyzes entity context, field metadata, data completeness, and cross-field consistency to generate intelligent merge recommendations in real time

For every field, InoWiz provides:

• A confidence score (0–100%) reflecting the model's certainty in each field recommendation
• A plain-language "Why This Suggestion?" rationale explaining the criteria used, such as format completeness, data richness, or cross-field consistency
• Pre-selected values in the Master column so users can review and proceed, or override, with full context

The AI model evaluates fields using multiple dimensions: completeness, format validity, business context, and internal consistency across linked field groups. 

Critically, address components - city, state, country, street - are evaluated as a cohesive unit, preventing the logically inconsistent outcomes (such as a city from one record paired with a country from another) that commonly occur in traditional manual merges.

Key Capabilities of DeDupeD's InoWiz AI for Duplicate Merging in Dynamics 365 CRM

InoWiz introduces a set of AI-driven capabilities that directly address the real-world challenges of data deduplication and duplicate merging in Dynamics 365:

AI Suggestions Toggle & Auto-Enable

Users can activate AI suggestions on demand via a simple checkbox on the merge screen. For high-frequency entities such as Account, Contact, and Lead, administrators can enable auto-suggestion at the entity level, so InoWiz fires automatically the moment the merge screen loads, eliminating additional clicks during large-scale Dynamics CRM data cleansing runs.

Confidence-Scored Field Recommendations

Every AI-suggested field displays an orange badge with a confidence percentage. Address field groups, evaluated as a unit, typically achieve 85–95% confidence scores when internally consistent. Communication fields such as phone numbers and websites are assessed for format standardization and cross-field consistency.

Transparent Rationale via "Why This Suggestion?" Tooltip

Every badge is interactive. Hovering or clicking surfaces a tooltip explaining exactly why InoWiz selected that value, creating a fully auditable, explainable AI workflow that satisfies data governance and compliance requirements.

Human-in-the-Loop Control

InoWiz never commits a merge automatically. Users review all AI suggestions, override any recommendation by selecting an alternative radio button, and click Finish to execute. The design ensures AI provides the analytical baseline while business users retain final authority.

Multi-Record Simultaneous Evaluation

Unlike pairwise comparison tools, InoWiz evaluates all selected duplicate records simultaneously in a single inference call, producing a globally optimal recommendation rather than iterating pair by pair. This approach is critical for organizations needing to remove duplicate Dynamics 365 data across complex, multi-duplicate record sets.

Why This Matters for Dynamics 365 Data Quality

Data deduplication in Dynamics 365 CRM is far more than a cleanup exercise; it directly impacts sales performance, customer experience, reporting accuracy, and overall business efficiency. Poor-quality data leads to duplicate outreach, fragmented customer histories, inaccurate forecasting, and inconsistent engagement across teams.

InoWiz addresses one of the biggest challenges in duplicate merge workflows: the lack of a consistent, data-driven approach for deciding which field values should survive a merge.

By bringing AI-powered intelligence directly into duplicate merge decisions, Inogic helps organizations :

• Standardize merge decisions across teams and geographies
• Reduce merge review time from minutes to seconds
• Eliminate inconsistent, manual field selection that often creates post-merge data quality issues
• Execute high-volume Dynamics 365 data cleansing initiatives with greater confidence and auditability
• Support data governance and compliance initiatives through transparent, explainable AI recommendations

What Would Your CRM Look Like With Zero Duplicate Guesswork?

Imagine opening a merge screen and instantly knowing, with confidence scores and clear reasoning, exactly which data to keep. No second-guessing. No inconsistent decisions across your team, No uncertainty about data quality after the merge. 

Just cleaner, more accurate Dynamics 365 data every time.

That is what AI-powered duplicate merge intelligence inside DeDupeD makes possible.

Ready to experience smarter Dynamics 365 data deduplication with AI? Explore DeDupeD by taking 15-day free trial from the Inogic website or Microsoft Marketplace and experience InoWiz AI firsthand, or reach out at [email protected] to book a personalized demo.