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Agrarian Blooms

Contact “ram”

Platform that connects the seller’s (Farmer’s & Florist’s) and customers

Mobile App

UX

Personal study

Platform connects seller and customers - Agrarian Bloom

Mobile app that connects farmers, florists, and customers without any middlemen. It helps farmers earn fair prices for their hard-grown flowers, and allows florists to showcase their craft with honesty. Customers get fresher flowers, clearer transparency, and a real story behind every purchase.

Overview

The scene that hits me

I’ve seen this firsthand in my own family — the flowers they grow are sold for low prices, while the same flowers are sold for much more in city shops. This unfair gap hurts farmers and leaves customers unaware of where their flowers come from. There’s a real need for a better, more honest way to connect the people who grow and arrange flowers with those who buy them.

The Problem

After exploring the situation more deeply, I discovered a significant disconnect between the people who grow or arrange flowers and the customers who buy them. Flower farmers and florists work incredibly hard to produce each bloom, yet they often earn far less than the true value of their work.


Meanwhile, customers enjoy the final product without knowing where it came from or who created it. This big gap—both in pricing and in transparency—shows that the system is unfair and needs a better bridge between creators and buyers.

What in my mind as AIM

Fair in Pricing

Transparency

Efficient

Setting the table

Secondary Research

Even with a personal connection to this problem, I didn't want to design from assumptions. I needed to understand the floral industry objectively — from market structure to pricing dynamics to the digital tools farmers actually use.

Market Landscape

to find current operation

Pricing Structure

to find how it works

Supply Chain Flow

for business model

User Ecosystem

Who interact with the App

Glimpse of Research

🏪 Market Landscape

The floral industry in India operates through a fragmented and highly location-dependent system. Most flowers travel from rural farms to urban markets through multiple layers of intermediaries, each adding cost but not necessarily value.


Prices fluctuate daily, often leaving farmers with low margins while city customers pay significantly more. To understand deeper, jumping into competitor analysis:

📊 Competitor Research

I explored several similar websites and apps to see how they approach the same problem. This helped me understand common patterns, strengths, and gaps in their user experience, pricing, and overall design.


For analysis, I selected five key competitors:

FNP (Ferns N Petals)

Farmizen

LookAtFlowers

AgroStar

CityFlowers

💰 Pricing Structure

To ensure fair and transparent pricing for both seller(farmers/florists) and buyers, the app can gather real-time flower price data from trusted sources and use it to generate a reasonable base price. This helps sellers stay informed about market trends while allowing customers to understand why prices vary.


Two things we have to be considered:

Reliable Resources for Flower Prices

commonly used sources in India:

APMC / Government Market Portals

Major Flower Markets' Daily Price Updates

Private Agricultural Apps (API-ready)

Local Market Associations

Factors Affecting Pricing

Pricing is not fixed — it changes due to several environmental, market, and logistical factors.

Geographic Factors

Logistic & Distance-Based Factors

Market-Driven Factors

How This Shapes the App's Pricing Model

Base price will be auto-generated using verified market prices (e-NAM, Agmarknet, APMC data) and adjusts it using geographic and delivery distance factors. This ensures that farmers and florists receive fair compensation while customers pay a transparent and reasonable price.

Supply Chain

To support fresh, fast, and reliable flower delivery, we can integrate India’s leading logistics services that specialize in same-day or express delivery. During my research, I identified several top logistics providers capable of handling time-sensitive shipments across major cities and Tier-2 regions — making them ideal for delivering flowers quickly and safely.


For proper storage, temperature control, and efficient handling, warehouse rental services can also be incorporated into the supply chain. These help maintain freshness before dispatch and support high-volume sellers like florists during peak seasons.


Additionally, for exporting flowers to international markets, there are established logistics companies in India that offer secure and efficient cross-border shipping solutions. by combining all three qualities, some of logistics which will be the best fit for

Delhivery

Express delivery across 18k+ PIN codes

Shadowfax

Hyperlocal & same day delivery

Dunzo

30–90 min delivery within cities

Coldman

Cold storage & logistics

DHL Express

Global leader in shipping abroad

User Ecosystem

The flower market is built on a network of people who depend on each other, yet often remain disconnected. Farmers grow the flowers, florists transform them into beautiful arrangements, delivery partners move them across locations, and customers create the final demand. Each group has its own goals, challenges, and expectations — but the current system doesn’t allow them to communicate or benefit fairly.


By understanding this user ecosystem, we can clearly see where value is lost, where trust breaks, and where technology can create meaningful connections. Mapping these roles helps identify how Agrarian Bloom can support each user, simplify their interactions, and build a more transparent, honest flow from the field to the customer’s hands.

Primary Research

User Research

I began the project by understanding the people at the heart of the problem. I directly spoke with farmers and florists to listen to their real stories, struggles, and day-to-day experiences — giving me deep, qualitative insights into how the flower market truly works.


To complement this, I also conducted a Google Forms survey with flower buyers to collect quantitative data, identify buying patterns, and understand customer expectations at scale. Together, these insights helped shape a clear picture of the needs, gaps, and opportunities across all user groups. Some responses from the buyers survey

In offline Do you face any issues while shopping flowers ?

40%

Uneven Prices

How familiar are you with the florist and their offerings?

54%

No idea about them

From Where do you know about the Actual Prices of the Flowers?

46%

Words of Mouth

User Persona

To better understand the people, I grouped the research insights into clear, relatable user personas. Each persona represents a key user category - farmers, florists, and buyers. Here, a personas from the seller(both farmer & florist) side:

I work with nature and creativity to bring beauty into people's lives. Yet behind every bloom I sell, there's a quiet fight.

Reliability

Fair Pricing

Ease of Use

Visibility

Logistics Efficiency

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Pain Points

Huge price gap between farm and market

Struggle to attract direct buyers, most prefer wholesale

Lack of trust in digital platforms

Limited knowledge of tech

Uncertainty due to things like pandemics or transport delays

Needs

Simple, easy-to-use selling platform

Trustworthy payment system

Better visibility to showcase flower quality

Support for delivery or logistics

Guidance or help using tech tools

Farmers & Florists

Age Range

Location

Tech Comfort

Income Dependency

: 30–60

: Madurai, India

: Low–Medium

: High

Key Motivators

Mud &

Creativity

in Hands

Persona - Seller

Making Sense of the Research

SWOT Analysis

To build a solution that truly fits the needs of farmers, florists, and buyers, I conducted a detailed SWOT analysis. This helped me clearly understand where Agrarian Bloom can stand out with its strengths, what potential risks or limitations to watch for, and where the platform has meaningful opportunities to grow.

Affinity mapping

After gathering insights from interviews, surveys, and field observations, I organized all the data using affinity mapping. This helped me uncover patterns, connect related pain points, and clearly identify what farmers, florists, and buyers truly expect from a solution like Agrarian Bloom. By clustering their thoughts, struggles, and motivations, I was able to translate raw research into actionable design directions. Here’s what emerged:

Need & Expectations

Easy-to-use application suitable for all situations

Reliable delivery with fresh, high-quality flowers

Fair and transparent pricing

A platform they can trust — especially when buying from or selling to new people

User Pain Points

Low and unstable income for sellers

No clear pricing standards

Very limited visibility for florists and their craft

Lack of awareness about flowers

Digital tools feel intimidating or unfamiliar

Current Workarounds

Selling and buying through middlemen

Visiting markets physically

Relying entirely on word-of-mouth connections


Tech Constraints

Must work smoothly in low-network rural areas

Users have limited digital literacy

Need for regional language support

Simple, low-cognitive-load user flows

User flow

With a clear picture of user needs, I mapped the complete journey for each user type - Farmer, Florist, and Buyer, identifying every touchpoint from onboarding to order completion.

Onboarding

Home

Confirm Booking

Provide Address

Edit Profile

Farmers

Florist

Products

Favorites

Profile

Notification

Cart

Search

Sign In

View Service

View Product

Payment

Order History

Purchase Successfully

Logout

Search result

View Notification

View

Profile Info

Register

Have an account?

Start

Wireframe

Before moving into detailed UI design, I created low-fidelity wireframes to map out the core structure of the app.

The Design

Seller Dashboard

Date Picker

Allows users to easily select a specific date for detailed information. For easy grouping, given with 4 options - Today, Weekly, Monthly and Yearly to view info.

Performance Summary

User can get a quick clarity on how their day is going without much clicks. which helps them instantly understand orders, deliveries, and earnings, supporting quick decision-making.

Order Segmentation

Categorizes orders into All, Pending, Delivered, and Returned.
Enables users to prioritize actions and reduce time spent searching through orders.

Custom Timeline Picker

Allows users to select specific dates or custom ranges for detailed insights. Provides flexibility beyond presets, enabling better control over tracking performance and orders. Designed to keep interactions simple while supporting personalized planning needs

Earnings Indicator

Displays today’s earnings along with growth percentage, giving users instant financial awareness. Encourages better tracking of income and performance over time

Order List (Status-Based)

Shows all orders with clear status, location, and delivery timeline. Helps farmers quickly identify what needs attention and manage tasks efficiently.

Storage & Message

Inventory Segmentation

Categorizes products into All, In Stock, and Low Stock. Helps users quickly monitor inventory levels and take timely action

Smart Inventory Insight

Highlights important trends or demand predictions (e.g., seasonal spikes like Diwali). Supports better planning for stock and sales

Product Management Grid

Displays products with image, price, discount, and stock controls. Enables quick updates to inventory without navigating away.

Smart Recommendation Tag

Highlights actionable insights like “High demand”, “Try bundling”, or “Increase stock”. Guides users to make better selling decisions without manual analysis

Communication Hub

Centralized space for buyer-seller interactions. Shows recent conversations with timestamps and unread indicators. Displays user profile, last message preview, and unread count

💫 Our Beautiful Outcomes

Crafting Experience that feel Effortless to be in

Have an Idea for a Product? Mail me at

ramkrish2405@gmail.com
gmail Copied!!!

Copyright @ Portfolio by Ram

Ramakrishnan Santhanam

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