Learn - Articles   -   Origin   -   Blog posts

The UVI Experience

It’s been a few weeks now since I traveled to Colombia to join the team at Unblended Coffee and Ventola Coffee to experience their UVI (Unblended Ventola Institute) gathering in Antioquia, Colombia. Unblended and Ventola are working together to make coffee farming a more attractive career option for young people across Colombia. Together, they created UVI , which is an incubator program that uses a mentorship model for young producers to understand and improve the value of their coffees.

 

Throughout the trip, there were a few standout learning opportunities that I’m still trying to fully grasp and understand. Some of the learnings were that data collection is not yet fully understood or even seen as a necessity by a majority of producers. Another important learning is the continued and growing interest in extended fermentations. While these are somewhat different observations, they also pose an important opportunity to emphasize the importance of data collection not only for cost of production but also for quality. With more producers interested in experimental processing, there are risks that come with these fermentation methods that only data collection for QA/QC can help mitigate. It's essential for producers to log and manage data around their fermentation trials because without that, they aren't able to assess what worked, what didn't work, how to repeat successes, and avoid repeating failures.

The trip consisted of a few farm visits near the town of Santa Bárbara, Antioquia to understand how Unblended and Ventola are working with producers  and where technology like Cropster Origin is needed. During these farm visits, I felt a slight disconnect between the excitement behind these producers’ fermentation experiments and the little knowledge of how data collection impacts the quality of production and provides insights into the cost of production. I say slight disconnect because with the high willingness to introduce fermentation methods at their farm, there needs to be that same willingness to collect the QA/QC data around those fermentation methods to mitigate any risk that comes with experimental processing.
 

null

However, the main part of the trip was the UVI gathering where 30 producers  came together for a day of learning and connecting. The gathering took place at Felipe Trujillo’s, owner of Ventola Coffee, lab near his farm, Finca La Ventolera. The average age of the producers was 25-27 years old. As part of the day’s agenda, I presented  on the importance of data collection for producers. Andrew Lyman of Atlanta’s Finca to Filter presented a workshop on the importance of photography for the producer’s personal brand.

Finca to Filter has 4 cafes in Atlanta and is keen to bring their baristas closer to origin through various initiatives. Unblended also holds the same goal of elevating the socioeconomic opportunities for young coffee producers in Colombia and hopes to bring producers closer to baristas.
null

I opened my lecture asking questions of the group and quickly realized that I needed to focus on presentation on basic best-practices because of the limited level of technological understanding. I focused on why producers should collect data, which data points should be collected, and why this data should be digitized. On a technology level, the producers ranged from those who collect various data points digitally to those who don’t yet even see a need to collect any types of data points. Throughout the session, I made some heads turn for the better as producers were asking important questions on how to collect their data.

By the end of the lecture, I concluded that there are 3 stages of data collection at the farm:

  • Stage 1: Doesn’t collect data at all and doesn’t think about the need to collect data. Simply processes and sells their coffee. Not sustainable and no way of knowing if they are financially stable or not.
  • Stage 2: Collects data via a notebook but has no organization or method of filtering out important data points. There is also a barrier of understanding how to digitize their data.
  • Stage 3: Collects data via digital tools, like Cropster Origin, and is able to filter/organize important data points for their own information and for potential buyers.

null

As with any trip to origin, cuppings are a must and It was amazing to taste the coffees of all the producers that I met the day before. It was quite something to taste the work and passion behind these coffees. If anything, it made me more motivated to continue thinking of ways of how Cropster can be more accessible to producers and become a widely adopted tool to help producers  envision their farm as a business.

새 소식 더 보기

Origin   -   Roastery   -   Quality Control / Cupping   -  

로트 평가, 샘플 유형 및 샘플 그룹

로스터, 커피 연구소, 수입업체, 수출업체, 생산업체 모두 샘플 커피 로트의 여러 샘플을 평가할 때가 있습니다. Cropster Sample Groups은 샘플을 계속 추적하기 쉽게 합니다.

더 읽기
Roastery   -   Commerce / Selling   -   Cafe   -  

도매 거래처에서 품질 확보하기

도매 커피 로스팅 사업을 운영하는 것은 생각보다 더 복잡합니다. 소싱, 로스팅, 품질 관리에 대한 복잡성을 차치하더라도 고객에게 단순히 상품을 제공하는 것보다 도매를 하려면 더 많은 것이 필요합니다. 계정에 적합한 서비스와 지원을 제공해 계정이 효과적으로 여러분의 브랜드(또한 자사 브랜드!)를 표현할 수 있도록 하는 것은 여러분의 사업과 브랜드의 성공에…

더 읽기
Release

레시피 범위 정의<

레시피 관리는 모든 성공한 커피 사업에 필수적인 부분입니다. 카페에서 레시피는 여러 위치의 여러 사람이 관리할 수 있습니다(예: 주인 및 관리자, 바리스타 트레이너 또는 중앙 집중식 실험실 또는 로스터리에서). 이를 염두에 두고, 카페에서의 레시피 관리를 살펴봅시다.

더 읽기

뉴스레터를 구독해보세요.

다음의 업계 종사자를 의한 솔루션에 대한 더 자세한 내용을 확인해보세요.