The document contains two Lean Canvas business models - the current "As Is" model and a proposed new model. The current model focuses on reducing customer rejections, onboarding sellers, hiring employees, and identifying partners. Key activities are website and app improvements. Customer segments are tier 1-3. Revenue comes from website, app and banner ads. The proposed new model expands into new verticals like pharmacy and grocery. It focuses on recommendations, lifetime customer value, and a "phygital" experience. Customer segments include middle/working class. Revenue comes from the website, app, stores, and ads.

1. Pace.com
LEAN CANVAS
BUSINESS
PLAN
Debabrat Mishra - 13C
Himanshu Parihar - 17C
Rohit Joshi - 35C
Sanaatan Misra -40A
Dhrumil Daftary -17A

2. Channels
Key Activities
• Reduce Customer
Rejections
• Onboarding of
Sellers
• Hiring people
• Identifying Key
partners
Resources
• Money
• Raising funds
• People, Key
partners
• Data for product
recommendation
system
Relationship Customer
Segments
• Tier -1
• Tier -2
• Tier -3
Cost Structure
• Infrastructure, Salary for employees & Key partners
Revenue Streams
Value Proposition
• Huge selection of
products
• Serviceable across
regions
• Offers Major &
Local Brands
• Great UI, UX
• Improve UI of the
website and the app
• Improve geographical
accuracy of the buyer
so that rejections are
reduced
• Improve product
recommendation
system
• D2C channel : Through
App, mobile website,
desktop website
• Ad banners, App based sales, website-based sales
LEAN CANVAS – AS IS

3. Channels
Key Activities
• Expanding business into
multiple verticals like
pharmaceuticals, grocery
etc.
• Hiring workforce for the
phygital (physical + digital )
implementation.
• Setting up key supply chain
network
Resources
• Data Science workforce
• Supply chain softwares
• Key customer purchase Data
• Payment preference of
customers
Relationship Customer
Segments
• Middle Class
Population
• Working Class
Population w.r.t
newly added
grocery segment
• Developed
consumer cohorts
based on
demographic and
psychographic
factors
Cost Structure
• Infrastructure, Salary for employees & Key partners
Revenue Streams
Value Proposition
• Season based
recommendation
• Customer lifetime value
• Layering of technology
• Phygital Experience for
Customers
• Easy Payments plan, that
are attractive for
customers.
• Differention between
evaluating and expressing
customer's interest.
• Better recommendation
using Artificial intelligent
and machine learning
models
• 3rd Party logistics to fulfill
customer’s choice of delivery.
• .Loyalty Programs –reward
points, priority treatment
• D2C channel : Through
App, mobile website,
desktop website
• Integration with
physical stores
( grocery segment)
• Ad banners, App based sales, website-based sales
LEAN CANVAS – PROPOSED

4. Recommendation
1. Assured by pace.
2. Product categorization : deals of the day for cheap products, available below x
price for cheap products on homepage , product classification as per price
3. Popular nearby based on geotagging of sales
4. Partner with good quality median AOV local brands with exclusive sales
5. Season based recommendation - like most popular products during monsoon etc.
6. Propose 3-4 days season based sales every month for higher volumes of high AOV
products (at discounts - grab or gone)
7. Introduce 2 day delivery mechanism by establishing dark hub model - for a price
8. Introduce subscription based model such as Amazon prime with faster delivery as
well as assured quality
9. Promote local sellers by partnering with them to create in-house brands (such as
done by Amazon) - ensure quality at cheap prices

5. 10. Enhance consumer experience by direct drop to cart and 2 step checkout (address
verification + payment gateway)- reduce funnel leakage. Incase consumer drops
product suggest alternative brands (May be cheaper - you may like this instead)
11. topical banner ads to promote big brands, exclusivity of big brand sales through
established sellers who have to have min. x revenue & y volume per year with z
returns percentage - will promote big sellers as well as reduce returns ratio
12. Sponsored ads for big sellers as well as big brands
13. Push high AOV products through recommended for you (personalisation based on
AI Recommendations)
14. Push high AOV product lines through curated for you this week (Amazon model)
15. Promote high AOV brands through brands in focus
Recommendation