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CASE STUDY 04 · MEDPLUSMART

Online Pharmacy E-Commerce Platform (www.medplusmart.com)

+28%: Increase in digital sales volumes within the first two quarters of launch.

-42%: Reduction in overall cart abandonment during prescription validation flows.

+55%: Growth in customer lifetime value (LTV) driven by automated subscription retention.

-15 mins: Shaved off the internal pharmacist verification turnaround time pipeline.

MedPlusMart.com pharmacy ordering homepage shown on a laptop, featuring quick-order options for WhatsApp, prescription upload, call and search

01 / 04 · MedPlusMart.com pharmacy ordering homepage shown on a laptop, featuring quick-order options for WhatsApp, prescription upload, call and search

02

The Challenge

Transitioning traditional, offline healthcare buyers — particularly chronic patients and dependent caregivers — into an online subscription ecosystem.

The interface required balancing strict regulatory prescription verification protocols with a frictionless, highly trustworthy retail experience that supports multi-year customer lifecycles.

03

Problem Statement

Friction-Driven Cart Abandonment: High rates of users dropping off during checkout due to complex verification steps or confusing workflows.

Inadequate Product Discovery: Difficulty for users trying to locate specific medicines based on complex generic compositions or brand substitutes.

Health Data Privacy Anxiety: Customer hesitation regarding data security, privacy protection, and the authenticity of digitally ordered health products.

04

Competitor Analysis

Competitors Assessed: Netmeds, Tata 1mg, Apollo 247.

Gaps & opportunity

  • Strategic Gaps Identified: Most competitors treated subscriptions as an afterthought, requiring manual re-ordering or static recurring reminders rather than smart, automated inventory-backed deliveries. Verification pipelines frequently delayed orders by 12–24 hours due to manual backend handling, creating an opening for a platform focused on algorithmic prescription pre-sorting and automated urban logistics.

05

User Research

  • MethodologyConducted 25 deep user interviews, distributed 500 digital surveys, and evaluated live session recordings (Hotjar) across target user cohorts.
  • Insights DiscoveredSeniors abandonment spiked by 65% when multi-factor authentication or document upload flows felt cluttered. Caregivers prioritised granular delivery tracking over pricing discounts to guarantee continuity of care. Urban software professionals abandoned carts if checkout required more than three smartphone taps or if order frequencies couldn't be instantly paused or modified.

Research was conducted before any design work; findings shaped the problem definition and strategy.

06

Discovery

Cross-functional technical discovery revealed that the highest drop-off rate occurred during the prescription screening stage. We realized that users were upload-fatigued. By identifying that 70% of chronic patients order the exact same item mix monthly, we pivoted from an order-first design to an automated "Subscription-First Hub" that front-loads valid, pre-approved prescription profiles during the browsing process rather than at final payment checkout.

01

Contextual interviews

Conducted in-home interviews with chronic patients, seniors, and caregivers to understand how prescription uploads and repeat ordering fit into their monthly routines.

02

Journey mapping

Mapped the ordering journeys for pharmacy, diagnostics, and doctor consultations, exposing where authentication and upload friction caused abandonment.

03

Analytics review

Reviewed funnel analytics to isolate the prescription-screening drop-off and validate that chronic patients reorder the same item mix monthly.

07

Strategy

  1. Problem

    Chronic patients regularly abandon online pharmacy carts because uploading prescriptions at every checkout creates immense friction.

  2. Insight

    Over 70% of chronic healthcare users purchase identical medicine compositions and quantities on a fixed monthly schedule.

  3. Opportunity

    Capture long-term customer loyalty by eliminating the repetitive checkout step for predictable, recurring medical orders.

  4. Strategy

    Shift the core user flow from a traditional, reactive e-commerce shopping cart model to a proactive subscription hub.

  5. Solution

    Build a "Subscription-First Hub" that front-loads pre-approved prescription profiles, reducing the recurring checkout flow to a single tap.

  6. Roadmap Prioritization

    Phase 1 introduced one-click prescription re-use and a basic subscription engine. Phase 2 focused on smart generic alternative prompts. Phase 3 delivered complex household account mapping (allowing one caregiver to manage multiple dependent profiles seamlessly).

08

Design Process

Adhered to an iterative, user-centered design loop. Created mobile-first wireframes focusing heavily on accessible UI patterns for older demographics (high-contrast text, larger touch-targets, and progressive disclosure forms). Built interactive Figma prototypes and subjected them to five rounds of remote usability testing, specifically adjusting the prescription upload module until the task completion rate for seniors increased by 40%.

01

Wireframes

Mobile-first wireframes focused on accessible patterns for older demographics: high-contrast text, larger touch targets, and progressive disclosure forms.

02

Exploration

Layout directions were explored for multi-channel ordering, smart generic alternatives, subscription management, and household account mapping.

03

Prototypes

Interactive Figma prototypes connected prescription upload, refill reminders, doctor consultations, and diagnostics booking into one coherent flow.

04

Testing

Five rounds of remote usability testing, especially with senior users, refined the prescription upload module until task completion rose by 40%.

05

Final Design

An accessible, mobile-first pharmacy experience that simplifies refills, generic substitutions, and family health record management.

Only the iterations that changed the direction of the work are shown — not every exploration.

09

Final Experience

Final experience visuals for Online Pharmacy E-Commerce Platform (www.medplusmart.com)

10

Personas

Persona 01

Portrait of Sunita Devi, a research persona

Sunita Devi

The Tech-Hesitant Senior · Retired School Teacher

A senior citizen with limited digital literacy who is highly cautious about online transactions and heavily relies on family for app assistance.

Goals

  • Locate an incredibly simple, trusted platform with reliable, straightforward service for mandatory medications.

Frustrations

  • Navigating cluttered interfaces and a constant fear of digital payment fraud or data security issues.
  • Age: 68
  • Widowed
  • Remote Village, Himachal Pradesh
  • Archetype: The Digital Traditionalist

Persona 02

Portrait of Rohan Sharma, a research persona

Rohan Sharma

The Self-Sufficient Caregiver · Marketing Manager

A busy working professional managing and ordering recurring medical prescriptions on behalf of their aging parents.

Goals

  • Enjoy a streamlined checkout experience, precise order tracking, and reliable automated delivery notifications.

Frustrations

  • Logistics and delivery delays that directly threaten their parents' health and medication continuity.
  • Age: 34
  • Married (with children)
  • Gurugram, Haryana
  • Archetype: The Protective Caretaker

Persona 03

Portrait of Ananya Rao, a research persona

Ananya Rao

The Urban Chronic Patient · Software Engineer

A tech-savvy software professional living in a major city who requires high-frequency, long-term medication for a chronic condition.

Goals

  • Maximum convenience, automated refills, and precise delivery windows that effortlessly fit into a demanding work schedule.

Frustrations

  • Managing repetitive manual orders alongside work and risking health gaps due to unexpected app stockouts.
  • Age: 25
  • Single
  • Hyderabad, Telangana
  • Archetype: The Efficiency Seeker

11

Impact

+28%

Increase in digital sales volumes in the first two quarters

-42%

Reduction in cart abandonment during prescription validation

+55%

Growth in customer lifetime value (LTV)

-15 mins

Shaved off pharmacist verification turnaround time