TANGO USING DESIGN THINKING

By

SRI VISHNU S 713524CS157

VALENTIN NICCOLA A 713524CS174

SASVANTH G 713524CS136

UDHAYA SANKAR C 713524CS173

DESIGN THINKING AND INNOVATION PROJECT

Submitted to the

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

In partial fulfillment for the award of the degree of

SNS COLLEGE OF TECHNOLOGY

(AN AUTONOMOUS INSTITUTION)

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

January 2025
 BONAFIDE CERTIFICATE

Certified that this Mini Project Report titled “TANGO USING DESIGN THINKING” is
the Bonafide record of work done by the students “SRI VISHNU”, ”SASVANTH”,
”VALENTIN NICCOLA’’ and ‘’UDHAYA SANKAR’’ had carried out the project work
under my supervision during the academic year 2023-2024.

PROJECT GUIDE HEAD OF THE DEPARTMENT

Dr.K.Sangeetha,
Mr.N.Selva kumar,
Associate Professor and Head,
Assistant professor,
Department of Computer Science Engg,
Department of Computer Science Engg,
SNS College of Technology,
SNS College of Technology,
Coimbatore-641035
Coimbatore-641035.

Submitted for the Vice-Voce examination held at SNS COLLEGE OF

TECHNOLOGY,held on

Internal examiner External examiner

 ACKNOWLEDGMENT

First of all, we extend our heart-felt Gratitude to the management of SNS College of Technology, for
providing us with all sorts of supports in completion of this Design Thinking Project.

We record our indebtedness to our Director Dr.V.P. Arunachalam, and our Principal Dr.S.

Chenthur Pandian, for their guidance and sustained encouragement for the successful completion
of this Design Thinking Project.

We are highly grateful to Dr.L.M. Nithya, Professor & Dean/CSE, IT & AIML for her valuable
suggestions and guidance throughout the course of this project, her positive approach had offered
incessant help in all possible ways from the beginning.

We are profoundly grateful to Dr.K. Sangeetha, Associate Professor & Head, Department of
Computer Science & Engineering for her consistent encouragement and directions to improve our
Design Thinking Project and completing the project work in time..

Words are inadequate in offering our thanks to the Project Coordinator,

Mrs.G.Swathi , Assistant Professor, Department of Computer Science & Engineering, for her
encouragement and cooperation in carrying out the Design Thinking Project work.

We take immense pleasure in expressing our humble note of gratitude to our project guide,
Mrs.N.SELVA KUMAR, Assistant Professor & Head, Department of Computer Science &
Engineering, for his remarkable guidance and useful suggestions, which helped us in completing the
project work in time.

We also extend our thanks to other faculty members, Parents, and our friends for their moral support in
helping us to successfully complete this Design Thinking Project.
CHAPTER NO TITLE PAGE NO

1 LIST OF FIGURES

2 ABSTARCT

3 DESIGN THINKING

4 DEFINE

5 IDEATE

6 PROTOTYPE

7 CONCLUSION

8 REFERENCE

iv
 ABSTRACT
Tango is an advanced grocery delivery app designed to redefine convenience and
accessibility in modern shopping. Evolved from its predecessor, Zepto, Tango addresses
the challenges of traditional grocery shopping, such as long lines, travel
inconveniences, and inconsistent delivery services. It leverages AI technology to provide
ultra-fast delivery to every corner of the city, ensuring groceries reach users swiftly and
reliably.

In addition to speed, Tango focuses on personalization, offering users detailed insights into
their spending habits through intuitive graphs. By fostering local entrepreneurship, it creates
opportunities for individuals to sell homemade products directly on the platform. Tango is more
than just a delivery app—it is a comprehensive ecosystem designed to simplify daily
life, support local businesses, and empower users with innovative tools for smarter shopping
decisions.

This seamless integration of speed, personalization, and community engagement positions

Tango as a transformative solution in the grocery delivery space.

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DESIGN THINKING

Design thinking is an approach used for practical and creative problem-solving. It is

based heavily on the methods and processes that designers use (hence the name), but
it has actually evolved from a range of different fields — including architecture,
engineering and business. Design thinking can also be applied to any field; it doesn’t
necessarily have to be design specific.

It’s important to note that design thinking is different from user-centred design.
Learn more about this other approach to design here: Design Thinking vs. User-
Centred Design.

Design thinking is extremely user-centric. It focuses on humans first and foremost,

seeking to understand people’s needs and come up with effective solutions to meet
those needs. It is what we call a solution-based approach to problem-solving.

The Four Principles of Design Thinking

The human rule: No matter what the context, all design activity is social in nature, and any
social innovation will bring us back to the “human-centric point of view”.

The ambiguity rule: Ambiguity is inevitable, and it cannot be removed or oversimplified.

Experimenting at the limits of your knowledge and ability is crucial in being able to see
things differently.

The redesign rule: All design is redesign. While technology and social circumstances
may change and evolve, basic human needs remain unchanged. We essentially only redesign
the means of fulfilling these needs or reaching desired outcomes.

The tangibility rule: Making ideas tangible in the form of prototypes enables designers to
communicate them more effectively.

Design thinking is a process for solving probl2ems by prioritizing the consumer’s needs
above all else. It relies on observing, how people interact with their environments, and
employs an
iterative, hands-on approach to creating innovative solutions. It is a human-cantered
approach to innovation.

FIVE STAGES OF DESIGN THINKING:

• EMPATHY
• DEFINE
• IDEATE
• PROTOTYE
• TEST

CHAPTER 2

EMPATHY
Empathize is the first stage in the design thinking process. To empathize is to research. So,
you should constantly remind yourself to question everything you observe instead of judging.
You should also listen to others open-mindedly rather than focus on points that confirm your
biases. Because our biases will naturally creep into how we view the world and the situations
we consider, as designers or design thinkers—we must catch and overcome these before they
distort our research. You must become fully objective before you can start to see through
your 3
users’ eyes and interpret their viewpoints optimally. They are the experts. You must
understand the users’ dimensions of use (e.g., tasks) and their feelings (e.g., motivations)
before you can work towards delighting them through your design.

As a design thinker, the problems you are trying to solve are rarely your own—they are those
of a particular group of people; in order to design for them, you must gain empathy for who
they are and what is important to them. Observing what people do and how they interact with
their environment gives you clues about what they think and feel. It also helps you learn
about what they need. By watching people, you can capture physical manifestations of their
experiences – what they do and speak. This will allow you to infer the intangible meaning of
those experiences in order to uncover insights. These insights give you direction to create
innovative solutions. The best solutions come out of the best insights into human behaviour.
But learning to recognize those insights is harder than you might think. Why? Because our
minds automatically filter out a lot of information without our even realizing it.

We need to learn to see things “with a fresh set of eyes,” and empathizing is what gives us
those new eyes. Engaging with people directly reveals a tremendous amount about the way
they think and the values they hold. Sometimes these thoughts and values are not obvious to
the people who hold them, and a good conversation can surprise both the designer and the
subject by the unanticipated insights that are revealed. The stories that people tell and the
things that people say they do even if they are different from what they actually do are strong
indicators of their deeply held beliefs about the way the world is. Good designs are built on a
solid understanding of these beliefs and values.
Observe. View users and their behaviour in the context of their lives. As much as possible do
observations in relevant contexts in addition to interviews. Some of the most powerful
realizations come from noticing a disconnect between what someone says and what he does.
Others come from a work-around someone has created which may be very surprising to you
as the designer, but she may not even think to mention in conversation. - Engage.

Sometimes we call this technique ‘interviewing’ but it should really feel more like a
conversation. Prepare some questions you’d like to ask, but expect to let the conversation
deviate from them. Keep the conversation only loosely bounded. Elicit stories from the
people you talk to, and always ask “Why?” to uncover deeper meaning. Engagement can

4
come through both short ‘intercept’ encounters and longer scheduled conversations. Watch
and Listen. Certainly, you can, and should, combine observation and engagement. Ask
someone to show you how they complete a task.

PROBLEM STATEMENT

Traditional grocery shopping is time-consuming, with long queues and the

hassle of traveling to stores. While delivery apps have eased some of these
challenges, many struggle to provide comprehensive coverage, leaving certain
city areas underserved. Additionally, these apps often lack meaningful
personalization, offering generic recommendations rather than tailored
insights into user preferences or spending habits.

Consumers need a solution that combines speed, accessibility, and

intelligence—a platform capable of delivering groceries quickly to every
corner of the city while offering personalized tools to enhance the shopping
experience.

Grocery shopping, a routine task, is often plagued with inefficiencies.

Traditional methods require significant time and effort, with long queues,
crowded aisles, and the inconvenience of traveling to stores. While grocery
delivery apps have attempted to address these challenges, they fall short in
several key areas.

Many delivery services struggle to provide consistent coverage across cities,

leaving underserved neighborhoods without access to these conveniences.
Additionally, current apps lack effective personalization, offering one-size-
fits-all solutions that fail to account for individual preferences, dietary needs,
or purchasing habits. Financial insights are minimal, making it difficult for
5
users to track their spending or plan budgets effectively.
Furthermore, these platforms do not adequately support community-driven
initiatives like selling homemade products, which could empower local
entrepreneurs. As consumer expectations evolve, the demand for a solution that
integrates speed, accessibility, and personalization into a seamless experience
continues to grow.

There is a clear need for a next-generation grocery delivery service that not only
ensures rapid delivery to every part of the city but also leverages AI to provide
tailored recommendations, spending insights, and support for local businesses,
transforming the way people shop for groceries
 DEFINE
Slow delivery is a critical issue in the grocery delivery industry, undermining
the primary value proposition of convenience. Customers expect quick access
to fresh and essential items, but delays often result in frustration,
compromised product quality, and diminished trust in the service. Inefficient
logistics, poor inventory management, and inadequate infrastructure are
common causes, leading to high operational costs and customer churn.

In a competitive market where speed is a differentiator, slow delivery limits a

platform’s ability to meet on-demand needs, erodes brand reputation, and
reduces customer loyalty. Addressing this issue is essential to ensure customer
satisfaction, retain market share, and create a seamless grocery shopping
experience.

In the rapidly evolving grocery delivery market, slow delivery remains a major
challenge, hindering the ability to meet customer expectations for speed,
convenience, and product freshness. While the demand for fast and reliable
grocery delivery has surged, many services continue to struggle with slow
delivery times, which result in several issues for both customers and
businesses.

For customers, delayed deliveries can lead to frustration, particularly when

perishable items like fresh produce, dairy, or meats are involved. This not only
affects customer satisfaction but also compromises the quality of products
upon arrival, eroding trust in the service. Furthermore, slow delivery fails to
meet the increasing demand for on-demand and last-minute grocery needs,
diminishing the overall appeal of the service.

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From a business perspective, slow delivery impacts operational efficiency.
Logistics bottlenecks, suboptimal routing, poor inventory management, and
inadequate infrastructure contribute to delays, driving up operational costs and
reducing profitability. The lack of timely service also leads to a loss of
competitive advantage, especially when rival services are able to offer faster
delivery times. This can result in higher customer churn, negative reviews, and
ultimately, lost revenue.
 IDEATE

AI-Powered Fast Delivery System

Tango utilizes cutting-edge AI to revolutionize grocery delivery logistics. By

analyzing traffic patterns, delivery distances, and order volumes in real time, the
system optimizes routes and schedules for maximum efficiency. AI predicts the
fastest paths, clusters nearby orders, and prioritizes dispatches based on
urgency. This ensures that groceries, especially perishable items, are delivered
fresh and on time, even in densely populated or remote areas.

Impact: This innovation drastically reduces delivery delays, builds user trust,
and sets a new standard for efficiency in the grocery delivery market.

Personalized Spending Insights

With Tango, users can access a comprehensive breakdown of their grocery

expenses through intuitive and visually appealing graphs. The app tracks
spending patterns, identifies trends, and categorizes purchases (e.g., staples,
luxury items, or essentials). Users can set budgets, track progress, and receive
insights on how to save.

Impact: This feature empowers users to make informed financial decisions,

enhancing the app's value beyond mere convenience and fostering long-term
customer loyalty.

Quick Dish Ingredients Feature

Tango simplifies meal planning with a unique feature that allows users to add
all the ingredients for a specific dish7 to their cart with a single tap. By
integrating a database of recipes, the app identifies required items and offers
recommendations for substitutions if certain products are unavailable.
Impact: This saves users time, eliminates the hassle of searching for
individual ingredients, and encourages them to try new recipes, enriching
their cooking experience.

Marketplace for Homemade Products

Tango introduces a built-in marketplace where users can buy and sell
homemade goods, ranging from specialty foods to handmade household
products. The platform supports local entrepreneurs by providing an easy
onboarding process, allowing them to showcase their products to a wider
audience. The app features categories, reviews, and personalized
recommendations to make shopping seamless.

Impact: This fosters community engagement, diversifies product offerings,

and creates a unique identity for Tango, appealing to socially conscious
users.

City-Wide Accessibility

Tango addresses coverage gaps by strategically establishing micro-

warehouses and distribution hubs in underserved areas. AI-driven analysis
ensures optimal placement of these hubs, while a decentralized delivery
network ensures efficient last-mile fulfillment. The app’s intelligent system
also dynamically adjusts routes based on demand surges in specific
neighborhoods.

Impact: This inclusivity broadens Tango’s reach, ensuring that users in

remote areas experience the same level of convenience and reliability as
those in urban centers.
Real-Time Order Tracking and Notifications

Transparency is a cornerstone of Tango’s delivery process. The app provides live

updates on every step of the order, from preparation to dispatch and final delivery.
Customers can track their delivery personnel on a map, receive estimated time-of-
arrival notifications, and get alerts in case of delays.

Impact: This feature builds trust, reduces anxiety, and enhances the overall user
experience by keeping customers informed at every stage.

Support for Local Entrepreneurs

Tango actively supports local sellers by offering tools to onboard and manage their
products within the app. Entrepreneurs can showcase their goods, leverage
analytics to track sales performance, and engage with customers through reviews
and feedback. Special promotional campaigns highlight these local businesses,
increasing their visibility.

Impact: This initiative empowers small businesses, fosters community ties, and
adds a personal touch to the app’s offerings, differentiating it from competitors.
 Fast Delivery System

Tango uses artificial intelligence to analyze key variables such as traffic

conditions, delivery distances, order priorities, and weather patterns in real
time. This AI-powered approach optimizes delivery routes for drivers,
dynamically adjusting to changing conditions. For example, during rush
hours, the system identifies less congested routes or deploys additional
delivery personnel in high-demand areas.

Features:
• Real-time rerouting to avoid delays.
• Prioritization of orders based on perishability and delivery
urgency.
• Batch delivery optimization to group nearby orders efficiently.

Strategic Micro-Warehousing

To minimize the distance between inventory and customers, Tango

establishes micro-warehouses in strategic locations across the city. These
hubs stock frequently purchased items, such as fresh produce, dairy, and
staples, enabling faster order fulfillment. Advanced demand forecasting
ensures that each warehouse is stocked with the right items based on local
consumption patterns.

Features:
• Distributed network of small warehouses for quick dispatch.
• AI-powered inventory management to predict demand and avoid
stockouts.
Impact: Reduces the last-mile delivery time significantly, especially in
underserved areas.
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Decentralized Delivery Fleet

Tango operates a flexible, decentralized delivery model by partnering with

local delivery agents, gig workers, and even community members. This
scalable network ensures that delivery capacity can be increased during
peak times without overwhelming infrastructure.

Features:
• Dynamic allocation of orders to the nearest available delivery
agent.
• Gig economy integration for scalability during surges.
Impact: Enhances coverage, reduces delivery delays, and optimizes
resource utilization.

Real-Time Order Tracking

To manage customer expectations and ensure transparency, Tango provides

real-time tracking of orders. Customers can see live updates on the
status of their delivery, from order preparation to final drop-off. The app
also offers predictive estimated delivery times that adjust dynamically
based on progress.

Features:
• GPS tracking for live updates.
• Notifications for delays or changes in delivery times.

Impact: Improves customer satisfaction by keeping them

informed and engaged throughout the process.
End Result

Tango’s fast delivery system seamlessly integrates technology, infrastructure, and

customer-centric innovations to redefine grocery delivery. By combining AI, micro-
warehousing, and flexible delivery models, the platform ensures groceries reach
customers fresh and on time, setting a new benchmark for speed and reliability in
the industry.

AI-Powered Recipe Suggestions

Tango’s recipe suggestion feature leverages advanced AI technology to provide

users with tailored meal ideas, simplifying the journey from grocery shopping to
cooking. This innovative feature combines personalized recommendations,
inventory optimization, and dynamic ingredient management to make meal
planning effortless and enjoyable.

Personalized Recipe Recommendations:

AI analyzes user preferences such as frequently purchased items, dietary

restrictions, taste preferences, and cooking habits.

Suggestions are tailored to individual needs, e.g., low-carb recipes for fitness
enthusiasts, or quick meals for busy professionals.

Upon onboarding, users can create a profile highlighting their dietary preferences,
restrictions, and cooking habits.Examples include vegetarian, vegan, gluten-free,
low-carb, or keto preferences.

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Inventory Integration

The feature syncs with the user’s purchase history to maintain a virtual pantry.
Recipes are recommended based on what the user already has, minimizing the
need for additional purchases.

If the user is missing key ingredients, the app highlights them with an option to
add them to the cart instantly.

Behavioral Data Analysis

AI analyzes purchase history to identify commonly bought items and seasonal

trends. For instance, frequent purchases of pasta, tomatoes, and cheese lead to
tailored suggestions such as “Creamy Tomato Pasta” or “Vegetarian Lasagna.”

As users engage with the app, their feedback, liked recipes, and previous
selections refine the AI’s understanding of their preferences.

Pantry Integration for Efficiency

The app creates a virtual pantry by syncing with the user’s shopping list and
purchase history.

Recipes are suggested based on the available ingredients, reducing the need for
extra shopping trips. For example, if a user has eggs, spinach, and cheese, the
app might suggest a “Spinach Omelette” or “Cheesy Scrambled Eggs.”

If a recipe requires additional ingredients, the app highlights them and offers a
one-click option to add them to the shopping cart.
 AI-Powered Spending Insights: Chart Overview

Tango’s AI-driven chart overview feature transforms how users interact with their
grocery shopping data, providing them with actionable insights and a clear
understanding of their spending patterns. By visualizing data through user-
friendly charts and graphs, this feature helps users make informed decisions,
manage budgets efficiently, and align their purchases with personal goals.

Comprehensive Data Aggregation

The app collects and categorizes purchase history, grouping items into
categories such as fruits, vegetables, snacks, beverages, and household
essentials.

Each transaction is logged with details like cost, date, and quantity, creating a

robust data foundation.

Interactive Visualizations

Spending data is represented through dynamic and customizable charts:

Bar Charts: Highlight weekly, monthly, or yearly expenses in
various categories.

Pie Charts: Display proportions of spending, e.g., the percentage of the

budget allocated to snacks versus essentials
.
Line Graphs: Track spending trends over time, identifying peaks and
drops.
Category-Based Analysis

AI segments data into predefined or user-defined categories for granular insights.

Example: Spending on organic produce versus conventional produce.

This allows users to identify areas where they can cut costs or allocate more
resources.

Users Benefits

The chart overview feature in Tango offers several key benefits to users,
enhancing their overall grocery shopping experience. It provides a clear
understanding of spending habits through intuitive visualizations, enabling users
to track their expenditures and make informed decisions. By setting budgets and
receiving real-time alerts, users can stay on top of their finances and avoid
overspending.

The feature also promotes mindful shopping by highlighting areas where costs
can be reduced, offering suggestions for cheaper alternatives or better budgeting
strategies. Additionally, users can customize their charts to focus on specific
categories or time periods, making it easier to manage spending according to
personal needs.

Ultimately, this feature helps users gain better control over their grocery
expenses, supporting both short-term savings and long-term financial goals.

This feature empowers users to make mindful, data-driven decisions that support
both their financial goals and shopping preferences, turning grocery shopping
into a more efficient and budget-conscious activity.
 PROTOTYPE

The prototype of the Tango app serves as a visual and functional representation
of the app’s features and user experience, allowing stakeholders to understand
how the app will look and operate before it is fully developed. The prototype
showcases the user interface (UI) design, navigation flow, and key interactions
within the app. Here’s an explanation of how the prototype of Tango functions

Home Screen and Navigation

Dashboard: The home screen presents a clean, easy-to-navigate interface with
quick access to key features like recipe suggestions, shopping list, spending
overview, and more.
Categories: Users can quickly access categories like “Fresh Produce,”
“Snacks,” or “Drinks” based on their purchase history and preferences, which
helps them browse and add items to their cart efficiently.

Recipe Suggestions
Personalized Recipes: The prototype demonstrates the AI-powered recipe
recommendation feature, where users see a list of suggested recipes based on
their profile, current pantry items, and dietary preferences.
Recipe Details: When a user selects a recipe, the prototype displays a detailed
view with ingredients, preparation instructions, and estimated preparation time.
Users can also adjust serving sizes or add the ingredients to their shopping list
directly from this page.

Shopping List and Cart

Dynamic Shopping List: The app automatically adds items based on selected
recipes or scanned pantry items. Users can manually add products as well.
Shopping Cart: The cart shows a real-time summary of selected products with
quantities, pricing, and an option to review and edit items before checking out.
Users can also view estimated total costs and compare prices.
 CONCLUSION

In conclusion, the Tango app is designed to revolutionize the way users shop for
groceries and manage their food-related needs. By leveraging AI for fast,
personalized recipe suggestions and providing comprehensive spending insights
through dynamic charts, Tango offers an efficient and user-centric experience.

It simplifies grocery shopping by recommending meals based on available

ingredients, dietary preferences, and shopping habits, while also helping users
stay within their budget with real-time spending monitoring. The integration of
pantry management and intelligent recipe recommendations not only saves time
but also promotes sustainability by reducing food waste.

Ultimately, Tango empowers users to make smarter, more informed choices,

making grocery shopping quicker, more convenient, and cost-effective. With its
seamless combination of convenience, personalization, and financial awareness,
Tango stands out as a comprehensive solution for modern grocery shopping and
meal planning.
 REFERENCE

Y Combinator