{"id":42286,"date":"2025-09-13T15:47:34","date_gmt":"2025-09-13T10:17:34","guid":{"rendered":"https:\/\/www.inogic.com\/blog\/?p=42286"},"modified":"2025-09-12T15:53:53","modified_gmt":"2025-09-12T10:23:53","slug":"boosting-productivity-by-minimizing-risk-in-the-insurance-industry-with-dynamics-365","status":"publish","type":"post","link":"https:\/\/www.inogic.com\/blog\/2025\/09\/boosting-productivity-by-minimizing-risk-in-the-insurance-industry-with-dynamics-365\/","title":{"rendered":"Boosting Productivity by Minimizing Risk in the Insurance Industry with Dynamics 365"},"content":{"rendered":"

\"Insurance<\/p>\n

In 2025, insurance premiums in the US amounted to $1.7 trillion, showing a 5.1% increase from 2024.<\/em><\/p>\n

The insurance world is clearly on a fast track. From claims agents rushing to sites after storms, to organizations trying to price risk across regions, to agents running sales campaigns, every minute counts. But too often, inefficiencies eat away at profitability. What if better location tools could give insurance companies a competitive edge? Let us see how Maplytics<\/a> inside Dynamics 365 CRM could step in.<\/p>\n

Here are a few Maplytics features that act as a perfect solution to increase a field agent\u2019s productivity, reduce costs, and improve customer satisfaction.<\/p>\n

Problem 1: Targeting Campaigns are Guesswork<\/strong><\/h3>\n

Scenario:<\/em> An insurance company plans a seminar or outreach event. They need to invite agents, brokers, or existing policyholders in nearby areas, but identifying who lives within, say, 50 miles, manually in CRM is tedious and error-prone.<\/p>\n

Solution with Maplytics \u2013 Radius\/Proximity Search<\/strong><\/h3>\n

Using the Radius Search<\/a> feature, insurers can plot all their CRM contacts and policyholders and then draw a circle around the event location. The system instantly finds everyone within that radius or travel time. As seen in a number of case studies, this saves time, moderates campaign spending, and improves targeting.<\/p>\n

Searching by travel time rather than just distance helps agents assess who can realistically attend.<\/p>\n

Using filters like policy type, renewal due date, or risk level helps narrow down the right contacts.<\/p>\n

Problem 2: Field Agents Waste Time Between Visits<\/strong><\/h3>\n

Field insurance agents often have scattered or canceled appointments, leading to travel inefficiencies and downtime.<\/p>\n

Solution \u2013 Route Optimization with Along-the-Route Search<\/strong><\/h3>\n

With Maplytics, once a CRM using insurance agent has a schedule<\/a> & a route plotted for the day, they can use route optimization<\/a> to plan the most efficient order of visits, reducing travel time and fuel cost. If they finish early or have gaps, they can use Along-the-Route Search<\/em> to find nearby policyholders or prospects\/ leads they could visit while passing by. This turns idle time into productive visits.<\/p>\n

Problem 3: Slow Claim Response \/ Emergency Situations<\/strong><\/h3>\n

When disasters like fires, floods, and cyclones strike, claims agents must get to affected zones quickly. Slow response frustrates policyholders and damages reputation.<\/p>\n

Solution \u2013 Real-Time Tracking & Territory Management<\/strong><\/h3>\n

Using live tracking<\/a>, in an insurance CRM Solution, companies can see exactly where field teams are, redirect them when issues such as blocked roads, unplanned routes arise, and optimize who goes where. Territory Management<\/a> helps ensure balanced coverage. For example, territories can be set up so agents aren\u2019t overloaded in one area while some zones lie idle.<\/p>\n

Problem 4: Risk Assessment Lacks Locational Context<\/strong><\/h3>\n

Often, underwriting depends on demographics, past claims history, environmental risks, like, flood zones, fire zones, etc. Without mapping these spatial factors, risk can be mispriced, or underwriting takes extra time gathering external data.<\/p>\n

Solution \u2013 Heat Maps + Census Data Visualization + ESRI ArcGIS Layer Overlay<\/strong><\/h3>\n

Maplytics allows overlaying external data such as census<\/a> info of income levels, population density, etc., environmental overlays, or GIS-based risk layers. Heat maps<\/a> help visualize zones with high prior claims or higher risk with color intensity. When this is built into CRM, underwriters can quickly see risk clusters and adjust premiums or policy offers.<\/p>\n

ESRI\u2019s ArcGIS<\/a> integration allows insurers to bring in richly detailed geographic layers, e.g., flood plains, risk zones, to improve underwriting precision.<\/p>\n

Problem 5: Managing Renewals & Customer Retention Becomes Reactive<\/strong><\/h3>\n

Insurance companies often lose customers because renewals are missed or agents are slow to act. Many times, renewal leads are buried in CRM and not acted upon until late.<\/p>\n

Solution \u2013 Dashboards + Template Views + Mobility<\/strong><\/h3>\n

With analytical dashboards<\/a>, insurers can have visual views of upcoming renewals, policy lapses, and renewal hotspots. Templates, standard saved filters & layouts, mean agents can quickly access renewal lists or customer segments by region. Accessing these on mobile<\/a> keeps agents updated in the field. This allows proactive outreach, customized retention campaigns, automatic reminders, and deployment of agents to regionally weak areas ahead of renewal dates.<\/p>\n

Why Maplytics Is Well-Suited for Insurance Productivity?<\/strong><\/h3>\n

To sum up, Maplytics is particularly powerful in insurance because:<\/p>\n