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HACKATHON BLOG

Social Meat

How do you sustainably organize foods for parties such that there is close-to-zero food waste? How can we know what the guests would like to eat before a party starts to arrange it properly? How can HKScan help with the preparation?

Let me introduce Social Meat.

About the challenge

HKScan’s hackathon challenge aims to refine data of the meat production chain’s carbon and water footprint and information on animal welfare in a way that interests and engages the consumer and other stakeholders.

“In the Agrofood Ecosystem® work, we have collected data adding transparency in the meat chain. With the new information, we develop our activities and set an example in corporate responsibility work.”

Brainstorming in a new way

On the first day (November 6, 2020), we were formed during Junction Connected 2020 with four people from multidisciplinary backgrounds: Deepjyoti (Indian, Software Developer), Linnéa (Finn, Pharmacy student), Tulika (Indian, Information and Service Management student), and me (Vietnamese, IT student). We were looking for ways to use Agrofood Ecosystem ® data to enhance ​strong consumer engagement and trust towards HKScan’s responsible meat production. We started the journey with a brainstorming session; however, instead of using post-its, we realised we were also talented slogan creators 😄 We came up with 12 ideas and the following are just four of them.

Address the issue

At HKScan, they have noticed that the food industry must provide consumers with more accurate and open data. They will increase transparency in a consumer-friendly and fact-based way so that their meat pleases customers’ taste buds and their hearts and conscience.

Our solution is to determine what kind of meaningful and engaging services HKScan could build with data to benefit consumers, customers, and other stakeholders. These data set include CO2e, water, and animal welfare footprints. 

After the brainstorming session, we analysed the theme of our clutter ideas, set the goal, and task division for each member. At the end of the first day, we came up with the purpose of Social Meat.

Our Goal

Social Meat
socially responsible consumption of meat
BRAND'S COLOR: #152B62
Our users
can see the impact of meat consumption
PRIMARY: #16542A
in terms of water consumption
PRIMARY: #FFC415
CO2e production
SECONDARY: #BCFDFF
the well-being and origin of the meat
Social Meat
can customise tast preference
TEXT: #000000
So you can make the choice that is right for you
TEXT: #FFFFFF
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Now we offer Users the possibility to create meal lists for an entire group

Social Meat

Everybody loves parties and delicious food. But parties can be a significant threat to food waste and sustainable eating habits. When the number of guests increases, there is a high chance of increasing food waste. The solution to this problem can be achieved if we gather personalised data of party guests’ eating habits and integrate the aggregated data with HKScan’s Agrofood system.

The Social Meat app, on registering, takes the user’s eating habits as inputs, meat/veg and taste preferences. Now, when someone organizes a party, he invites all the guests through this app. After acceptance from the invitees, the organizer gets a fair idea about attendance, food preferences and capacity of intake for that day and can prepare accordingly. Also, the organizer receives a detailed sustainability report of the party, how much is the party’s carbon/water footprint value, the complete production process of meat farming, and some sustainability tips on how can he reduce carbon and water footprint by choosing another meat item. In addition, to ease the difficult work of selecting a good dish, the app also suggests some popular recipes from the desired items.

Our Solution

Engaging

Guests can get a sustainable rating and ranking among peers for their food choices, enabling a gamification and collaboration process. Collect points, improve ranking and inspire others to do so while reaching sustainable food habits collectively. The app also engages retail partners and logistics to engage end-users and gather more information about eating preferences while ensuring a smooth supply chain.

Scalable

While this app uses a use case for parties, it has endless possibilities to scale up to any size of events, student gatherings, family supplies and even municipalities supplying food to hospitals, armies and anywhere where bulk supply is required with organizing just taking minutes!

Communication both ways

It's beneficial for the organizer to get all these statistical data about his planned event. But at the same time, HKScan is also benefited from the usage of the app. All the data about a person's food habits, a party's tendency towards which kind of meat, available retailers near the event location are aggregated and sent to HKScan. Then this data can be used in endless possibilities. Analysis information from this data can be used to approach the organizer and let them know more detailed information about the availability of meat products, choices of retailers and delivery information, other ways to be more sustainable etc., to name a few.

Improvement scope

We have plans to integrate the barcode scanning feature into the app. While in a store, you can scan the barcode on a meat package and instantly get to know the whole timeline of production from HKScan's data. You can get a series of operations and farm monitoring data collected periodically from farming to packaging, allowing you to make socially responsible choices when buying meat.

UX and UI made with Figma

Giving user a recommendation 

Let the guests make their choices

Get a final list and user’s group sustainability score

Order and receive tasty sustainable foods and recommendations

Demo video made with
Final Cut Pro

Our Team

Deepjyoti Paul • Nguyen Le Khanh Ngoc • 
 • Linnéa Hammarberg • Tulika Ganoo

The winning team of the hackathon challenge of HKScan’s Agrofood Ecosystem developed an innovative application that allows event organisers to follow the environmental impact of food choices. The winning Social Meat team members were Linnéa Hammarberg (Finland), Nguyen Le Khanh Ngoc (Vietnam), Deepjyoti Paul (India) and Tulika Ganoo (India/Finland).

Track Challenge Winner

Junction 2020 Connected Finalist

Interview with Maaseudun Tulevaisuus

Ngoc Nguyen
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