Business Plan for a 15-pyeong Cafe in Gasan Digital Complex: AI Agent Analyzes Commercial District Characteristics and Expected Sales
A method has been presented to perform the essential business planning process for starting a self-employed business using an AI agent.
A method has been presented to perform the essential business planning process for starting a self-employed business using an AI agent. According to a video from the YouTube channel 'Jayeongeop Diary', while the process of a founder directly calculating the commercial district, customers, competing stores, costs, and expected sales takes a lot of time, using the AI agent 'Gamma' can materialize these in a short time.
The process of generating a business plan draft using the AI agent 'Gamma'
The video captures the process of inputting commands into the AI agent 'Gamma' under the assumption of starting a 15-pyeong scale private cafe in Gasan Digital Complex. When the user entered, 'I want to start a 15-pyeong game cafe in Gasan Digital Complex. The owner will operate it directly and plan to sell coffee and simple desserts. Please create a business plan that can be reviewed before the actual startup,' the AI independently categorized and drafted the necessary items for a business plan, such as market analysis, initial investment costs, expected sales, menu composition, and marketing strategies.
According to the explanation in the video, when the user set the initial startup budget to 100 million won and specified the number of slides, the AI generated a presentation including location, scale, and budget within just a few minutes. In particular, the AI showed the process of collecting actual real estate rental data for Gasan Digital Complex that the user did not explicitly specify and reflecting it in the plan.
Characteristics of the Gasan Digital Complex commercial district and sales analysis confirmed by data
The generated business plan included specific figures regarding the Gasan Digital Complex commercial district. According to the results analyzed by the AI, as of April 2026, the number of cafes in the area is 170, and the average monthly sales of cafes were shown to be 11.6 million won. In particular, the proportion of weekday sales among the core commercial district sales reached 91.3%, showing a structural characteristic where almost no sales occur on weekends. Additionally, it included information that the population in their 20s to 40s accounts for 77% of the total, and approximately 7,000 IT ventures and small and medium-sized enterprises are concentrated there.
The profitability analysis results were also presented. When the user set a target monthly net profit of 4 million won, the AI back-calculated by applying the average rent of the 15-pyeong commercial district in Gasan Digital Complex. Accordingly, it was calculated that to achieve the target net profit, monthly sales of 11.85 million won are required, and daily sales should be at a level of approximately 450,000 won. In the case of initial investment costs, they were organized in detail into deposits, premium (key money), interior, machines and equipment, furniture, signage, initial supplies, and reserve operating funds.
Refining the plan through conversational editing and risk management
The drafted version can be modified and supplemented in real-time through conversation with the AI. In the video, a process of requesting investigations centered on the nearby customer base of Gasan Digital Complex, the difference in weekday and weekend demand, and the surrounding competitive environment is shown. Accordingly, the AI updated the commercial district analysis slides and provided reference material links that can be checked directly for all figures.
In terms of design, the visual composition can be changed through commands such as 'Change it to a large corporation presentation style' or 'Change the explanatory content into a table.' Furthermore, when a risk analysis was requested to confirm the sustainability of the business, the AI picked failure in location selection as one of the major risks and additionally generated a risk management page including response measures.
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