Who are the founders of Slazzy?
Slazzy was founded by Shubham Gopal and Mansi Bajpai, two professionals with the experience in technology, e-commerce, operations, and scaling businesses.
Shubham Gopal – Founder & CEO
Shubham has over 7 years of experience in software development and e-commerce technology. Before starting Slazzy, he worked as a Senior Technical Consultant at EY (Ernst & Young).
During his career, he worked with multiple e-commerce brands and digital businesses, helping them build and scale technology solutions.
While working with these brands, he repeatedly noticed a common problem: customers often needed clothing urgently but had no reliable way to get fashion delivered quickly. At the same time, local fashion retailers had inventory sitting in their stores but lacked digital reach.
This observation eventually became the foundation of Slazzy.
Mansi Bajpai – Co-Founder & Head of Operations & Growth
Mansi brings over 6 years of experience in operations, growth, merchant management, and city-level execution.
Before Slazzy, she worked with companies such as Zomato, OYO, and Paytm.
At OYO, she was responsible for revenue growth and handled large-scale operational responsibilities. She gained hands-on experience managing teams, working with partners, scaling operations, and launching growth initiatives.
Her understanding of hyperlocal operations and merchant ecosystems became a key strength in building Slazzy’s operational model.
How did the idea for Slazzy start?
The idea came from a simple real-world problem.
Many people have experienced situations like:
- An unexpected party invitation.
- A job interview the next day.
- A wedding function in a few hours.
- A college event.
- A date night.
- An important office meeting.
In these situations, people often realize they need clothing urgently.
The problem is that traditional fashion e-commerce platforms usually take several days to deliver.
As consumers, we can order food in minutes and groceries within hours, but fashion remains one of the slowest categories in e-commerce.
We felt that this experience needed to change.
What problem is Slazzy solving?
Slazzy solves three major problems.
1. Customers need fashion instantly.
Fashion is often linked to specific events and occasions.
Customers don’t always shop weeks in advance.
Many purchases are urgent.
Current e-commerce platforms are not designed for these situations.
2. Local fashion stores struggle to compete online.
Thousands of local retailers have great products but limited digital visibility.
Most customers don’t know what inventory is available in nearby stores.
3. Fashion inventory remains underutilized.
Retail stores already have products, sizes, and styles available.
The challenge is connecting nearby demand with nearby supply.
Why didn’t you choose the dark store model?
This is one of the most common questions we receive.
The simple answer is that fashion is very different from groceries.
A dark store works well when products are limited and predictable.
Fashion is different because:
- Every product has multiple sizes.
- Every product has multiple colors.
- Trends change frequently.
- Inventory changes daily.
- Customers expect variety.
To build a dark store for fashion, we would need to purchase and maintain a massive inventory.
That would require significant capital and create inventory risk.
Instead of creating new inventory, we decided to utilize inventory that already exists.
Why did you choose a hyperlocal model?
Because the inventory is already available.
Every city has hundreds of fashion stores.
Every store has products sitting on shelves waiting for customers.
Our question was:
Why build warehouses when the products already exist nearby?
The hyperlocal model allows us to:
- Offer more variety.
- Reduce inventory risk.
- Scale faster.
- Support local retailers.
- Improve unit economics.
Rather than competing with local stores, we empower them.
How does Slazzy work?
The process is simple.
- Customers browse products through Slazzy.
- Nearby partner stores receive the order.
- The best available inventory is selected.
- Delivery partners pick up the product.
- Customers receive their order in approximately 60 minutes.
This creates value for everyone.
Customers receive products faster.
Retailers increase sales.
Cities become digitally connected.
What makes Slazzy different?
Most fashion marketplaces focus on warehouses and national inventory.
Slazzy focuses on local inventory.
Most platforms deliver in days.
Slazzy delivers in minutes.
Most platforms compete with retailers.
Slazzy partners with retailers.
Most platforms require significant inventory investment.
Slazzy operates an asset-light model.
Why do you believe this model will work?
Consumer behavior is changing rapidly.
People increasingly expect instant convenience.
Food delivery transformed restaurants.
Quick commerce transformed groceries.
We believe fashion is the next major category to evolve.
The infrastructure already exists:
- Retail stores exist.
- Inventory exists.
- Delivery networks exist.
The missing layer is technology.
That is what Slazzy is building.
What is the long-term vision?
Our vision is to become India’s largest hyperlocal fashion commerce network.
We started in Lucknow.
We are preparing for expansion into Delhi NCR.
In the future, we aim to connect thousands of fashion retailers and millions of consumers across India.
We believe the future of fashion commerce is local, fast, and technology-driven.
And we want Slazzy to lead that transformation.
Why did you choose Lucknow as your first city?
Many startups immediately launch in cities like Bangalore, Mumbai, or Delhi.
We deliberately chose Lucknow.
Lucknow provides the ideal environment to test and validate a hyperlocal fashion commerce model.
Compared to larger metropolitan cities, Lucknow has:
- Lower traffic congestion
- Faster delivery movement
- Lower operational costs
- Easier retailer onboarding
- Better control over customer experience
- A growing population of digitally active consumers
For us, Lucknow was not a smaller market.
It was a smarter starting point.
Launching in Lucknow allowed us to test customer behavior, optimize operations, understand retailer challenges, and refine our technology before expanding into larger and more complex markets.
Instead of burning capital in a large city, we focused on building a repeatable and scalable model first.
Playstore- https://play.google.com/store/apps/details?id=com.slazzy&pcampaignid=web_share
App store- https://apps.apple.com/in/app/slazzy/id6762513597