AI Solution for the Pharmaceutical Industry - Site Dinn
The Problem
Companies relying on sales teams face constant challenges to maximize productivity, reach more clients in less time, and maintain a high level of personalized service. One of the key challenges is prioritizing visits, optimizing routes, and ensuring an efficient approach. This case study demonstrates how an AI-powered product transformed this reality, driving greater efficiency and impact for businesses.
My Role
As a Product Designer, my role was to ensure the platform was not only functional but also intuitive and aligned with the end users' needs. I worked on the initial research, flow definition, prototyping, and beta user validation, ensuring the experience delivered positive results for both the business and its users. I used Figma and FlutterFlow during the prototyping and development phases for both the app and web system, taking an active role in the front-end through Flutter’s no-code interface.
Process
Initial Research
Objective: Understand the main pain points of sales teams in their daily routines.
I interviewed 10 sales consultants and 5 managers from industries considering adopting the Dinn tool. Through these interviews, I mapped out their daily workflows and the rituals involved in the processes of each activity they performed during their work.
Data Analysis
Reviewed market reports on sales intelligence and industry benchmarks to align best practices with the product.
Journey Mapping: Studied daily routines, visit frequencies, visit durations, and client types to identify inefficiencies.
Prototyping and Testing
Created wireframes to validate flows and functionalities with FlutterFlow.
Conducted UI studies for components within Figma.
Performed usability testing with beta users to ensure clear and optimized navigation.
Methodology:
Interviewed 10 sales consultants and 5 managers.
Analyzed routines to identify bottlenecks like visit prioritization, routing, and preparation time.
Rapid iterations based on user feedback.
Pilot and Validation
Launched a pilot with a small group of 20 users, later expanding to 70 after 7 days.
Monitored engagement and collected continuous feedback for final adjustments.
Web Solution
The web platform was designed to simplify sales managers' routines.
Key Features:
Enables managers to oversee their teams using the Dinn platform.
Integrates with company BI systems, CRM, Sales Farma, and other software, centralizing data and unifying team management.
Provides inventory forecasts and market trend data, allowing managers to suggest adjustments to consultants' routines.
App Solution
The app was designed to enhance field consultants' daily workflows.
Key Features:
Visit Prioritization: Algorithms highlight high-priority clients to optimize visit schedules.
Optimized Routes: Efficient routing to save travel time.
Real-Time Insights: Suggestions for arguments and actions during visits.
Intuitive Interface: Simplified design reduces the learning curve and encourages daily use.
Results after 30 days of pilot monitoring:
83%
User Engagement: 83% of users reported they would use the product daily or regularly.
1,76
Additional Visits: Consultants increased productivity by 1.76 extra visits per day, per representative.
10 min
10 Minutes Saved: Reduced travel time by 10 minutes per visit.
Results and projections after 30 days of pilot monitoring:
+16%
Expanded medical coverage by 16%.
+USD
Annual potential revenue increase of +USD 39 million for the client industry.
135x
Projected ROI of 135x for every dollar invested in Dinn.
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Monday
August 5, 2024
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Key Learnings
The adoption of artificial intelligence in the sales sector had a direct impact on efficiency and revenue generation. As a Product Designer, it was rewarding to lead the transformation of a complex challenge into a practical, highly scalable solution.
What I’d Do Differently: I would spend more time engaging with users upfront. Since the product didn’t exist, we had limited time to dive deep into user routines, which led to prioritizing some features that consumed more time than planned.
2024 Milestones for Dinn
+600
Scaled the app to over 600 users and the web management system to 50+ managers.
500k
Achieved BRL 500K in revenue in 2024, its first year of operation.
1,9m
Projected revenue of BRL 1.9M for 2025.
