V-retail- A Virtual sales assistant tool

My Role

Research, Competitive Analysis, Ideations and User Flow, Hi-fi Prototyping and Delivering to client

Tools

Duration

6 Weeks

Location

Ink in Caps, Mumbai (Internship Project)

Client

Real-estate

About

Context

Why we introduced Emotional AI in V-retail?

Let's delve into Sarah's journey, a Travel Agency Owner

To understand this

That’s where V-retail’s AI analytics steps in:

A groundbreaking Emotional AI-powered platform designed to transform customer interactions into meaningful, personalized experiences.

V-retail is revolutionizing the sales landscape for industries like travel, retail, automobile, finance, and real estate.

Sarah manages a thriving travel agency that offers bespoke travel packages.

Her goal is to provide personalized services that cater to each customer's unique travel dreams.

However, with a growing customer base, it became increasingly challenging to understand and meet the diverse needs of her clients.

Problem Area

Difficulty in real-time customer preferences hampers conversion rates

Challenges in identifying high-potential leads reduce sales opportunities

Inaccurate sentiment analysis impacts personalized interactions and engagement

Research Observations

Finding Structure Amidst the Confusion

To better understand the problem space, my manager and I were presented with critical observations and insights gathered by the founders and development head. These insights were derived from a comprehensive six-month research period involving in-depth conversations with salespeople. Our task was to brainstorm ideas and solutions to address the identified challenges.

It’s difficult to understand all businesses before selling our products to them as we always have a overview of the business but need to know all the ins & outs of the platform in order to know their pain points & serve them better

There are many competitors out there and people tend to buy from the platform where they can get maximum offers, benefits and discounts specially the Indian market

In industries like real-estate it’s not about trust, customers will go there where they will find most suitable properties in very low price. It’s all about convincing people and making them confident about all the benefits the company is providing is the best

Next big challenge is to follow up leads. Salesperson face problem knowing when to follow up and how to follow up without irritating the customers.

Think of a bad-fit prospect as a person who is sure to become an unhappy customer. They might have the money and the inclination to buy, but the fit just isn’t right.

Maybe they have unrealistic expectations. Maybe there’s a cultural misalignment.

Today’s gen always wants something unique, and customized that they can show out and recommend other to gain more followers in this case it’s very imp to know their style and preferences.

It sometimes becomes difficult to empathize with customers and handle them sensitively at the time of crisis or unpredictable circumstances.

Customer: “I'm not interested"

I’ve seen many salespeople getting frustrated by the most common objections: Blow-offs.

But luckily, this challenge has a solution.

From my experience, the best way to deal with blow-offs: do not contradict them. Instead, empathize, relate, and offer a solution.

First, empathize with the customer by telling them that you understand how they feel.

Persona

To fully grasp the needs and challenges faced by our target users, we created detailed personas, one of which is Sarah, the Travel Agency Manager. This process was crucial in visualizing the customer journey and tailoring our solutions to meet real-world requirements.

Competition from online travel agencies

Lot of effort goes into focusing on understanding and meeting customer needs to build long-term relationships.

PAIN POINTS

Increase in positive reviews acknowledging timely and accurate crisis-related information.

ABOUT

Sarah is a travel agency executive based in Mumbai, known for her passion for curating unique and personalized travel experiences. With over a decade of experience, she has built strong relationships with clients who trust her to make their national/international journeys memorable.

Something that could help us capture and interpret customer preferences on the go.

Language translation, culture and tone understanding

NEEDS

To offer tailored support and suggestion during her client’s trips as she faces certain barriers due to not being present there in real-time

Quickly identify and prioritize high-potential leads.

GOALS

Measure client satisfaction levels through feedback and ratings to gauge the effectiveness of support provided during trips.

Provide personalized, empathetic interactions to improve customer satisfaction and loyalty.

Sarah

USER PERSONA

Mumbai, India

LOCATION

Tourism

INDUSTRY

Executive in travel agency

OCCUPATION

It’s difficult to gauge the emotions of clients, as each one has different sentiments about their dream visits to specific places.

Dealing with cancellations and disruptions

Research Opportunity

Identifying Direct and Indirect Competitiors

After primary research, we expanded our insights with secondary research—competitive analysis, usability analysis, and heuristic evaluation. This ensured our solutions were both innovative and aligned with industry standards.

-a glimpse of secondary research

Insights

Lack of In-Depth Emotional Sentiment Analysis

Sales tools often miss out on understanding customer emotions deeply. By using AI to better analyze emotional sentiment, we can connect with customers more meaningfully, enhancing their satisfaction and loyalty.

Many tools don't offer the flexibility businesses need. We can stand out by providing highly customizable features, making it easier for clients to tailor the solution to their unique needs and improving their overall experience.

Limited Customization and Personalization

Many platforms have rudimentary lead scoring. With AI that looks at various factors to score leads, V-Retail can help users focus on the most promising prospects, making their sales efforts more effective.

Very Basic Lead Scoring

Sales tools often overlook optimizing sales activities. By using AI to analyze call sentiment and manage sales pipelines better, V-Retail can help users close deals more effectively and improve their overall sales process

Inefficient Sales Activity

Our stakeholders, leveraging their industry connections, provided valuable insights into current purchasing processes and their simplification needs.

Through discussions, we captured the voices of our actual users. We also spoke with previous V-Retail clients to understand their desires for enhancing their sales tools with AI. This helped us move ahead with the final user flow.

Stakeholder Interviews

  • The unpredictable real estate market makes it tough for us to forecast sales and hit targets.

    We'd love tech that analyzes market trends and client preferences to find the best properties quickly, making it easier to close deals.

    Real Estate- Sales

  • It's hard to keep up with customer preferences in fashion, especially for customized outfits. We need to stay updated with social media for personalized recommendations.

    Plus, a system that understands and responds to emotions that could provide empathetic support during interactions will be useful.

    J&J- Fashion sales team

  • In an era of personalized travel experiences, it’s challenging to meet each client's unique needs and preferences.

    We need a way to analyze client data and behavior patterns so we can anticipate and fulfill their needs more effectively.

    Travel Agency- Owner

  • In our automobile industry, customers often feel overwhelmed by the abundance of generic data, leading to confusion even after test drives.

    We need a solution that offers personalized benefits and offers according to client's needs. Also analysis of sentiments and tones to identify high-potential clients will be highly beneficial.

    Automobile- Sales Team

Core Value Propositions

Make Smarter Sales Decisions

Focus on High-Potential Leads

Better Analysis of Customer
Sentiments

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Shopping Just Got More Personalized

User Flow

The client was eagerly waiting for the final product, so the pressure was on!

  • My manager and I had hours of meetings with our founder and dev head—think endless coffee and late-night brainstorming sessions.

  • We finally nailed down the user flow, making sure it was smooth and exactly what the client wanted.

  • Then came the content—tailored to perfection, just as the client requested.

Design Direction

We maintained the existing design system for consistency and branding, only adding some highlight colors to emphasize critical data for AI analysis.

Sentiment Analysis
Personalizaed For Business
Check the refined design

Visual Design

Impact & Takeaway's

It’s always been a dream of mine to work with big brands, and I’m incredibly grateful to the IIC team for giving me the opportunity to do just that through my work on V-Retail.

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increase in lead conversion rates with AI-driven sentiment analysis.

boost in customer satisfaction scores by gauging their sentiments

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reduction in time spent per client by presenting personalized content.

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improvement in user engagement by highlighting critical data

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THE END

OPEN TO WORK · OPEN TO WORK ·

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