SHOPLY: Community Based Shopping

Community based ‘Google for Shopping’ that gives you 1 personalized answer on what to buy.

Current results:
*2K+ downloads
*#1-5 in Google Play trends (shopping category),
*100+ relevant posts every week.

$84B - US Apparel Sales Touched by Shopping Apps ‘16
$6,7B - Mobile Ads Spend in Global Apparel Market '16

+16% US Ecommerce Apparel Sales (‘16/ ‘17)
+19% US Apparel Online Ad Spending (’16/ ’17)
+146% Traffic of Social Marketing Channel in US Retail Ecommerce (‘16/ ‘17)

Decision-making problems in Buyer Decision Process while shopping. What should I buy?

1. We update current Buyer Decision Process from
(a) Buyers go to Sellers & get 100K+ options on what to buy into
(b) Buyers ask the 'Community of Buyers' & get 1 personalized solution.

2. All community members are devided into 3 groups: (1) Posters: upload goods pics & details, (2) Voters: form shopping catalogues, (3) Shoppers: buy products. 1 person could obtain all 3 roles (one by one), based on current buyer decision stage.

3. With the help of (a) posters, we form shopping catalogue with the goods of online, mobile & offline shops, (b) w/ voters, we personalize all catalogues (based on votes, likes & each community member expectations), (c) w/ shoppers, we motivate all community members (by sharing commission with the community from the referrals).

All the details could be provided during the meeting.

Non-direct competitors: (1) Online/ Mobile/ Offline Stores, (2) Shopping Ideas Services (Pinterest, Instagram), (3) Fashion Advisers Apps (ex. StyleDotMe).

We Unite Current Shopping Ecosystem

Best-Case Scenario:
Becomes Market Leader
Covers 50%+ of US Apparel Sales Touched by Shopping Apps
Generates profit of $1B+/ year, 50M+ Monthly Active Users

Realistic Success Scenario:
Covers 3-5% of US Apparel Sales Touched by Shopping Apps
Generates Profit of $10-20M+/ Year
300K+ Monthly Active Users

Worst-Case Scenario:
iOS & Android Fashion Adviser App
No Monetization, <30K Monthly Active Users

Details: https://prnt.sc/jo9afm

Best-Case Scenario:
Becomes Market Leader
Covers 50%+ of US Apparel Sales Touched by Shopping Apps
Generates profit of $1B+/ year, 50M+ Monthly Active Users

Realistic Success Scenario:
Covers 3-5% of US Apparel Sales Touched by Shopping Apps
Generates Profit of $10-20M+/ Year
300K+ Monthly Active Users

Worst-Case Scenario:
iOS & Android Fashion Adviser App
No Monetization, <30K Monthly Active Users

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