TONY
TONY
My Role
Including mobile web
My Role
Including mobile web
My Role
Including mobile web
Summary
The WebApp DAU is around 10 million compare with our APP (500 million DAU, 1:50), but compare with Facebook, instagram, etc. Their WebApp user already up to 30% of their mobile user. TikTok WebApp have a lot of potential.
BACKGROUND
The potential of Chinese merchants
Cloudkitchens
Promotion platform will be a platform that enables multiple approaches for hosts to promote their listings, at the same time, it will be an essential leverage to exchange high quality listings/service/or loyalty from hosts with the way we disperse Airbnb’s traffic. It will also show traffic attraction and allocation power to our hosts to strengthen their confidence to do business with Airbnb.
Identify Problems
Experimentalism vs Operational Automation
New merchant education
In China, over 70% of Cloudkitchens users terminate their leases annually, and over 50% of merchants have a monthly order volume of less than 100. They entered the catering industry without sufficient preparation. We need to improve the education of this group of users and, simultaneously, increase the order volume of new users in their first month.
Low efficiency & mess front table
Independent and chain restaurants alike have rushed into delivery by offering it through third-party delivery providers, each with its own tablet sitting inside the restaurant.
Core Problems
Several delivery platforms
Multiple food delivery platforms require restaurants to equip multiple tablets, increasing costs and potentially reducing efficiency.
New businesses struggle to survive
Most of the merchants are new businesses; they need to quickly boost store visibility and orders within a short period.
Lacking operational mindset
Most merchants are still using traditional methods for marketing and operations, such as flyer advertising and making phone calls.
Merchant Educations
Merchants need continuous learning from various aspects such as data analysis, operational management, etc, but there is no similar learning platform.
Take guess
Hypothesis
Hypothesis 1
Collect the data from all delivery platforms in a central dashboard. User don't need to check data on each platform.
Hypothesis 2
Providing interfaces for newcomers and experienced merchants based on their historical data, Provide Customized Experience
Hypothesis 3
Develop an AI assistant could guide users through various scenarios, assisting merchants in making fundamental decisions.
Hypothesis 4
Establishing a learning community "Lutra Academy" that utilizes Cloudkitchens extensive merchant resources to aid small businesses.
design process
A 0-1 comprehensive ecosystem
of restaurant operation products
Create a focused MVP for a target segment. Pick the first 1,000 people who are going to love the product, and design an end-to-end experience that you believe will be great for them.
From this 0-1 project, I worked on many more projects during my time at CloudKitchens; if you're interested in, please reach out to me.
Homepage & Lutra Academy
The design from Storyboarding, Ideations, Prototyping. After extensive research and experimentation, we arrived at the final design, and we are still iterating base on AB test, user feedback and product research.
Recommend Coupon Value
We recommend more effective coupon prices to users based on similar brand restaurants around the business area.
Distribute Coupon Automatically
After users set the time, coupons will be distributed to eaters within the business area at a fixed time every day.
Compare Cycles
Check the history cycle and orders, compare with previous data to adjust the coupon setting.
Monthly Order
+21.5%
Monthly Revenue
+12.2%
Monthly New Eater
+14.8%
Satisfaction
+92%
Analyze Dashboard ‘Operation Automation’
The analysis dashboard encompasses all restaurant data, utilizing AI to provide stage-specific recommendations based on each dataset for the current merchant's store. Users can take corresponding actions in the analyze sub-features to enhance store ratings. It includes various sub-features such as Store Monitor, Review Management, Ad Bidding, etc.
Store Monitor
Monitoring includes Reviews, Orders, Revenue, and Net Income, etc. Users are prompted within the 'Analyse' tab and homepage.
Review Management
Assisting users in analyzing, managing review to minimize and eliminate negative reviews, thereby enhancing store ratings.
Auto Ad Bidding
Assisting users in securing the most cost-effective advertising placements on delivery platforms.
Lutra AI Assistant
Offering store optimization and guidance plans within various features for user.
Core Tabs
Me Tab, Printer, and Orders. Reach out to me if you are interested in more details
Tony Xing
Product Designer
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