Seung Youngwook, CEO of Forcepace Lab Interview
"We Will Become a Data-Driven Problem Solving Company"

How can the headquarters of a food service franchise check the quality of food at each store? To inspect whether the food is being made according to the recipe provided at the initial opening, or whether the ingredients have been reduced or changed causing a difference in taste, they need to taste the food themselves. However, if there are many franchise stores, it is difficult to check each one individually, and inspections often only take place after consumer complaints have accumulated. PosSpaceLab identifies the root cause of this problem as the franchise headquarters' inability to integrate and manage data from franchise stores. If they can secure and analyze data such as food sales volume, ingredients, and logistics, they can detect stores that do not follow the headquarters' recipes. This is an example of how franchise headquarters can solve existing problems by utilizing data. Ultimately, PosSpaceLab aims to provide a ‘franchise enterprise healthcare solution.’


Seung Young-wook, CEO of ForceSpaceLab, is explaining the solution. Provided by ForceSpaceLab

Seung Young-wook, CEO of ForceSpaceLab, is explaining the solution. Provided by ForceSpaceLab

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On the 24th, Seung Young-wook, CEO of PosSpaceLab, said, "Many solutions introduced in the franchise industry are fragmented and inconsistent, so integrated data management is necessary," adding, "Our goal is to provide the foundational data to solve problems and, based on that, to resolve the issues." The core of PosSpaceLab’s business, founded by CEO Seung in 2019, is the Software as a Service (SaaS) franchise data solution called ‘Data Pure.’ The customers are franchise headquarters, and the solution includes newly developed sales management for the store opening stage and business management solutions to increase franchise store sales thereafter.


They explain that core tasks from franchise sales activities to on-site store operations are unified through data to maximize efficiency. CEO Seung said, "For example, we can estimate delivery sales and recommend which area to start delivery from, and even if the operation management system is complex, we can estimate and notify the number of cases where sales are not made according to headquarters’ guidelines. We also automated the previous manual daily collection of franchise store data by the person in charge every morning."


The development of this solution reflects CEO Seung’s experience. While serving as Chief Strategy Officer (CSO) at Barogo, a delivery agency, he led a project to automate rider calls through the POS (Point of Sale) system. During this, he discovered many inefficiencies in managing franchise store data. He judged that headquarters would have a strong desire to collect and receive data.


CEO Seung’s judgment was accurate. Since its founding, PosSpaceLab has rapidly grown to provide services to 35 franchise brands and about 3,500 franchise stores. CEO Seung emphasizes that the essence of competitiveness is ultimately technology. He said, "We automatically collect data from various channels, display it, and even analyze it. The technology is optimized to integrate heterogeneous data under a single rule for management. Currently, most of our 20 employees are engineers."



CEO Seung plans to develop Data Pure into a solution that solves problems across the entire food and beverage market. The primary target is about 300 domestic franchise brands that have more than 10 stores out of 10,000 franchise brands in Korea. They are also expanding their business area to large restaurants with high sales even if they do not have many stores. Later, they plan to solve problems based on data in industries beyond food service. CEO Seung said, "We have entered fields outside of food service, such as signing contracts with health club chains. We can also play a role in collecting data to manage real estate or commercial buildings," adding, "We will grow into a data-driven problem-solving company."


This content was produced with the assistance of AI translation services.

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