Lalaland - A C2C ecommerce site - pitch deck

This is created in coordination with Facebook Developer Challenge Program in Vietnam, solving Chotot.vn problems on user experience and recommendations. For more information, please visit : https://www.facebook.com/DevCVNInnovationChallenge/

Transcript

1. Where your shopping experience flies lalaland
2. TABLE OF CONTENTS The PRoblem Why do we make this awesome product ? 01 The solution How do we solve the problem and benefit the users ? 02 The FUture How do our ideas keep progressing after MVP? 03
3. The Problem 01 Why do we make this awesome product ?
4. Expectation “in buy and sell“ “make full use of these fresh contents data to create an application or web feature that increase the personalized user experience” “one person will find joy, fun and good deals everyday from the first day visiting Chotot”
5. MEet VÂn - AN OFFICE WORKEr HOBBIES Social Status / TEchnology Knowledge Vân wanna buy an Iphone Social status Social status 55% 45% Secondhand shopping Traditional shopping Budget
6. Current pain Cramped user interface, too many functionalities, not optimised for buyers Users always see the same screen no matter how long they have been using the apps Suitable for everyone, optimised for no one
7. Current pain Filters are for experts Too many options Vân cares about buying not selling
8. Vân is not alone Our 100 people interviews show you why
9. Dont trust chotot Because of how items are presented and they have no consultancy 58 % NEVER COMeback They don’t have the need. We don’t motivate them. 82 % FEel OVerwhelmed They were given too many choices. 64 % ARE happy They mostly browse for properties or cars 18 % Numbers can speak
10. PRoduct VISION “Chợ Tốt is the number one C2C marketplace platform in Vietnam, powering more than a billion views and more than 10 million users buy and sell.” We aim to make buying experience fast, full of joy and easier.
11. Chotot VS. US Original CHotot • Sell and buy • Mobile and web • No personalization lalaland • Buy • Mobile • Highly personalized
12. Our STRATEGy lalaland Heavy focus on mobile app
13. Our STRATEGY lalaland Tailored for buying experience “According to VECITA’s estimation, 20% of the population could bring 80% e-commerce offer of the entire market”
14. Our Strategy lalaland Apply personalization on many levels
15. The Solution 02 How do we solve the problem and benefit users ?
16. Product Goals Introduce users to a marketplace with a wide range of products The faster deals close, the easier customers find their happiness To promote the right listings to the right audience and motivate shopping Focus On BUying Process As FAST AS POSSIBLE Personalized
17. Faster Purchase With intelligent chat bot systems that are designed to help users purchase things
18. Chotot domain knowledge
19. To the next level Explicit, Easy to access Guiding, intuitive Oriented, SImple
20. 一Eileen Brown, ZDNEt “Chatbots are fast becoming a business imperative for businesses that want to engage with their customers. ”
21. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik. Personalization Delivering the right product to the right customer
22. Gather interests for first time users Deliver contents based on users chosen interest
23. Personalization on many levels Tailored product collections to deliver guided high quality content Fresh, daily suggestions to promote buying Trending products in related categories Wide array of products, but carefully placed
24. Better buying experience Present related latest products for people who actively seek offerings
25. Better buying experience Better info display Related items for cross-sale Better CTA Clear focus on product images
26. The Future 03 How do our ideas keep progressing after devC challenge?
27. MetriCs Measurement We want to know how our features affect the health of the business We want to know the cost vs the financial gain of our features Customer and revenue churn rate We want to know if customers are happy with our offerings Monthly recurring revenue Net promoter score xx% xx% xx%
28. Product Roadmap Demoable chatbot. Demoable personalizations. Analyzed data Finetune recommendations with more data from Chotot. Live backend. Group based selling and buying. Enhance chatbot systems with more domain knowledge. UI UX enhancements Phase 3 MVP Phase 2 Innovate product searching with image search, better search ranking. Phase 4 Refine recommendation engine with machine learning and better algorithms. Phase 5
29. OUR TEAM “That sounds OK to me” “Let me take care of all the mobile things” Hieu Vu - Mobile dev Thinh Nguyen - DATA Scienti “Why this? Why that?” Tien Mai - Data Scientist Luong Vo - Product Manager “Guys, we need X Y Z…..”
30. Thank you For your attention