Location-first Field Force Management for Group & Individual Loan Meetings & Collections

Improve true visits, record km tracking, ensure visit compliance, seamless travel allowance disbursals, and boost market penetration.

Business Impact

Reduction in Travel Time and Distance (km)
1 %
Increase in Customer Facetime
1 %
Reduction in Field Force Requirement
1 %

Optimize Field Force Orchestration for Group and Individual Loans with Location Intelligence

Edit Content
Track distance (km) traveled by agent
Seamless travel reimbursment calculation
Verify center meeting compliance with real-time location tracking
Track duration of center meetings to measure its quality
Monitor field agent attendance with check-in and check-out alerts
Adhoc reconnaissance tasks to hunt new villages for prospect business expansion
Meeting compliance management
Edit Content
Field agents can locate and view nearby cash deposit points on the app
They can access and log cash deposit details
Backend reconciliation for each deposit
Travel Allowance
Edit Content
Enable agents to track targets and manage incentives
Set quotas and targets for the agents across regions and hierarchies
Target and Incentive Management
Edit Content
Gamify daily tasks to motivate agents and boost healthy competitionIncentive meter
Prescriptive nudges for customer follow-ups, ad-hoc, and nearby visits
Alerts for cross-selling offers to individual loan customers based on group loan recovery trends
Quizes for training and enablement of agents on the mobile app
Group and 1:1 chat for better collaboration
Help agents conduct adhoc surveys
In-App Nudges
Edit Content
Consider branch and center location, center visit frequency, center visit day, field agent who attends to the center and create an optimal beat plan
Optimize the number of field resources, travel time, and travel KM's
Run multiple simulations to choose between business variables - change field agent's center visit, center meeting day, and more
Beat Plan
Edit Content
Adhoc daily visits for - previous collections, field office leaves, and upcoming public holidays
Input the beat plan and instances of daily adhoc variables to create optimal day plan for each field agent
Completely automated process to account for various scenarios
Location-Intelligent Lead Scheduling
Edit Content
Relook at the territory addressed by the branch
Create snug clusters based on business parameters like centers, cumulative groups, and distance between the centers
Each cluster can be allocated to a field agent
Reduce the travel time of the field agent drastically, increase customer face time, and expand business penetration
Mapping field agents to snug territory clusters
Edit Content
Daily case allocation engine decides which collection agent attends particular cases based on DPD bucket, delinquency amount, skill set, location, propensity to pay etc.
Near-by' view to show other cases in proximity. Collection agents can visit them adhoc and try to do the collection
Current Collection
Edit Content
Intelligent recommendations on risk exposure in territories
Derive actionable insights on areas with high/low risks
Delinquenent Collections
Edit Content
In case of unavailability of an agent, delegate customer visit to another agent
Visit Delegation
Edit Content
Run simulations to streamline existing branch networks
Branch to center mapping revisit
Optimize count and location of branches and find opportunities to open new ones
Network Optimization
Edit Content
Quantify the opportunity size in the addressable area for each branch
Compare that to the actual penetration and analyze the opportunity
Implement steps to increase penetration
Branch Network Optimization
Edit Content
Identify the most optimal location for new branches
Use Point of Interest variables like working population, income index, banks nearby, type of shops nearby, competition presence, geo reach etc. to identify and recommend new branch locations
Analyze various areas around the proposed branch to identify center locations
Identifying optimal locations for branches and centers
Edit Content
Conduct town/village surveys to set up town centers/branches at locations with high prospect clusters
Edit Content
Facilitate group/individual offer communication to members
Offer workflow to track them to closure
In-app offers
Edit Content
Attendance of group loan members at center meetings based on face recognition
Face Recognition
Edit Content
Remove inconsistent addresses and unwanted geographical data points
Use AI to convert text addresses to spatial database
Address Verification

Field Force Management

Tracking and Compliance
Track distance (km) traveled by agent
Seamless travel reimbursment calculation
Verify center meeting compliance with real-time location tracking
Track duration of center meetings to measure its quality
Monitor field agent attendance with check-in and check-out alerts
Adhoc reconnaissance tasks to hunt new villages for prospect business expansion
Field agents can locate and view nearby cash deposit points on the app
They can access and log cash deposit details
Backend reconciliation for each deposit
Enable agents to track targets and manage incentives
Set quotas and targets for the agents across regions and hierarchies
Gamify daily tasks to motivate agents and boost healthy competitionIncentive meter
Prescriptive nudges for customer follow-ups, ad-hoc, and nearby visits
Alerts for cross-selling offers to individual loan customers based on group loan recovery trends
Quizes for training and enablement of agents on the mobile app
Group and 1:1 chat for better collaboration
Help agents conduct adhoc surveys

Route Optimization

Center Visit Beat Plan
Consider branch and center location, center visit frequency, center visit day, field agent who attends to the center and create an optimal beat plan
Optimize the number of field resources, travel time, and travel KM's
Run multiple simulations to choose between business variables - change field agent's center visit, center meeting day, and more
Adhoc daily vists for - previous collections, field office leaves, and upcoming public holidays
Input the beat plan and instances of daily adhoc variables to create optimal day plan for each field agent
Completely automated process to account for various scenarios
Relook at the territory addressed by the branch
Create snug clusters based on business parameters like centers, cumulative groups, and distance between the centers
Each cluster can be allocated to a field agent
Reduce the travel time of the field agent drastically, increase customer face time, and expand business penetration

Collections

Intelligent Case Allocation
Daily case allocation engine decides which collection agent attends particular cases based on DPD bucket, delinquency amount, skill set, location, propensity to pay etc.
Near-by' view to show other cases in proximity. Collection agents can visit them adhoc and try to do the collection
Intelligent recommendations on risk exposure in territories
Derive actionable insights on areas with high/low risks
In case of unavailability of an agent, delegate customer visit to another agent

Market Penetration

Network Optimization
Run simulations to streamline existing branch networks
Branch to center mapping revisit
Optimize count and location of branches and find opportunities to open new ones
Quantify the opportunity size in the addressable area for each branch
Compare that to the actual penetration and analyze the opportunity
Create road map to increase the penetration

Business Expansion

ID New Branches & Centers
Identify the most optimal location for new branches
Use Point of Interest variables like working population, income index, banks nearby, type of shops nearby, competition presence, geo reach etc. to identify and recommend new branch locations
Analyze verious areas around the proposed branch to identify center locations
Conduct town/village surveys to set up town centers/branches at locations with high prospect clusters

Others

Offer Dissemination
Facilitate group/individual offer communication to members
Offer workflow to track them to closure
Attendance of group loan members at center meetings based on face recognition
Remove inconsistent addresses and unwanted geographical data points
Use AI to convert text addresses to spatial database

Location-intelligent Field Force Management for Microfinance Institutions

Field Force Management

3-5 km radius snug clustering and territory allocation to agents
Enable field force to track targets and manage incentives
Calculate distance traveled and record customer visits
Gamify daily activities to motivate agents and boost healthy competition

Route Optimization

Intelligent scheduling combining beat plans with optimized routes for higher market penetration and meeting & exceeding KPIs
Prescriptive day plan recommendations to the field force to cover more customers with shortest and fastest routes
Club multiple customer visits on the same route and reduce travel time
Interlace individual loan customers with planned group loan visits; prioritizing P2P, delinquent case and more
System recommendation to visit a nearby customer who is at risk or not visited recently
Optimize routes based on center visit dates, km saved, hours in the field

Field Collection and Recovery

Proximity-based case allocation to field agents
Improve collection throughput
Actionable visual intelligence
Location-driven collection strategy

Business Expansion

Apply PoI data variables like average household income, working population, government offices, in certain areas
Identify underserved regions and high growth areas within micro markets and customize product offerings to increase market penetration

Group & Individual Loan Origination Field Orchestration

Geo-based group creation
End-to-end loan workflow
Offer/Scheme dissemination for individual loans - cross-sell opportunity

Branch to Center Mapping

Align town centers to bank branches by running multiple simulations
Find the most optimal location for town centers
Optimize all constraints of the branch network
Ensure field agents are not making dead runs to centers far from other town centers

Site Selection - Branches and Town Centers

Use PoI (Point of Interest) variables like high working population, income index, etc. to identify individuals or families for loan offerings
Conduct town or village surveys to set up town centers/branches at locations with high prospect clusters

Meeting Compliance Management

Maintain customer visit compliance and complete agent’s audit trail
Validate center meetings and analyze their quality by measuring duration, customer dispositions and number of customers tapped from individual centers

Intelligent Case Recommendation & Cross-sell Offers

Smart recommendations to field agents for lead follow-ups and new lead generation
Customized individuals and group loan offerings based on multiple variables including historical repayments, income health, socio-economic conditions
Custom offers to individual loan customers based on group loan recovery trends

Delinquency Insights

Derive actionable insights on areas with high/low risks
Get intelligent recommendations on risk exposure in territories
Use risk map indicators like historical data of recoveries, and missed EMIs

Role-based Challenges

Edit Content
Lack of intelligent insights on potential markets and opportunities
Unbalanced territories and center workload
Limited customer facetime, low agent productivity
Location driven optimization to optimize journey/day plans
Inability to visualize and run simulations or experiments to increase agent productivity
Lack of strategic optimization to increase customer facetime on center visit dates -which branch the agent is allocated, field agent (who will visit), center visit time
Lack of systems to run geo-intelligent simulations factoring in km, ideal base location of agent, POI data and more at district level
Edit Content
Lack of real-time visibility on field agents
No system to validate true visits and visit outcomes
Manual individual loan customer assignment to agents leading to inefficiencies
Ineffective mapping of customers to agents and centers
Unable to introduce timely offers and schemes to individual loan customers with existing systems
Edit Content
Inefficient day plan with poor route optimization
Spread out customers and centers leading to fewer customer visits
Lack of central system for beat plan, recording visit outcomes and managing KPIs
Role-based challenges of MFI

Functional Features

Prescriptive Daily Route Optimization
Optimized Beat Planning
Center, Branch and Agent Network Planning
Prescriptive Nudges and Alerts
Risk Profiling
Facial Recognition for Smart Attendance
Expense Management
Visit Compliance and Audit Trail
Address Geocoding

Applying Location Intelligence to Microfinance

Related Resources

Prominent Microfinance Firm Gets Real-time Visibility on Loan Officers with Dista Sales

Prominent Microfinance Firm Gets Real-Time Visibility on Loan Officers with Dista Sales

Top 5 Location Intelligence Use Cases for NBFC

Top 5 Location Intelligence Use Cases for NBFC and MFI

Dista Improves Debt Collections and Recovery for a Leading NBFC-MFI

Dista Improves Debt Collections and Recovery for a Leading NBFC-MFI

Related Videos

How Route Optimization Improves Branch and Center Visits

How to Optimize Your Branch Network

How Location Intelligence Transforms Beat Planning for Field Agents