Household trivial matters are scattered across multiple apps: Gesong plans to raise 27.5 million to build a unified entry point.

The popularization of life service platforms has made it increasingly convenient for residents to place orders online, but the comprehensive cost for an ordinary family to handle daily affairs has not disappeared accordingly. Grocery shopping, food ordering, cleaning appointment, express return handling, and home appliance maintenance contact are often scattered across different applications and merchants. Consumers not only need to repeatedly compare options and communicate, but also lack a unified follow-up entry when encountering performance exceptions. Targeting this connection gap, Gesong family life service entry platform (hereinafter referred to as "Gesong") is under preparation for launch, aiming to provide family-oriented multi-task coordination and end-point performance services through the trinity architecture of "independent family life service entry + AI-assisted task coordination hub + standardized community service station". At present, the project plans to seek RMB 27.5 million in the first round of financing, which will be used for product R&D, team building and commercial model verification of the first 3 to 5 model stations in Beijing in the next 18 months.

From "Scattered Order Placement Across Multiple Platforms" to "One-Sentence Multi-Task Coordination"

According to Gesong's research and observations from past community practices, most traditional life service platforms organize transactions by commodities or single service categories, which have natural breaks in cross-platform coordination and on-site end-point delivery. This pain point is particularly prominent among two typical groups of families: the first group is urban dual-income families with fast work pace and highly fragmented time, who find it difficult to repeatedly connect with multiple merchants and door-to-door service personnel during work breaks; the other group is the elderly group who face usage thresholds in complex product selection, online payment and after-sales rights protection processes, and have greater demand for offline assistance in non-standard affairs such as heavy object handling and home appliance troubleshooting. According to the 2025 data released by the National Bureau of Statistics, the permanent urban population in China reached 953.8 million, and the population aged 60 and above was 323.38 million (accounting for 23.0% of the national population); the 2025 national 1% population sample survey shows that there are 514.65 million family households in China, with an average of 2.52 people per household. The parallel trend of miniaturization of family size and population aging has laid a long-term market foundation for community service entrances that can undertake comprehensive life affairs.

In response to the above demands, Gesong has not chosen to invest heavily in retraining general basic large models. Instead, it plans to build the multi-task coordination capability with the family as the core unit by calling APIs of mature large models, combined with its own corpus of family life service scenarios, task orchestration engine and business rule system. In actual use, residents do not need to judge in advance which application to open for a certain demand, nor do they need to disassemble the process by themselves. They only need to put forward composite demands in natural language at one time through voice, text, fixed hotline or front-desk reception at the store — for example, "buy two bags of rice tomorrow morning, send a lunch for the elderly at home at noon, pick up the returned express in the afternoon, and make an appointment with a technician to check the rice cooker". The system will automatically identify the content, location, time window and dependency relationship of each affair, disassemble them into standardized sub-work orders, and carry out parallel preparation or on-way combined scheduling in combination with the inventory, price, appointment time period and transportation capacity conditions of surrounding cooperative merchants. When it comes to key nodes such as price confirmation, payment and door-to-door time period, the system will still initiate confirmation to users according to rules to ensure decision-making transparency.

While the online AI completes demand analysis and scheduling orchestration, Gesong has planned a 7-person standard community service station offline (equipped with 1 store manager, 2 front-desk service staff and 4 field staff), with service hours covering from 6 a.m. to 11 p.m. The service station not only undertakes the work of daily resident reception, physical verification and temporary storage, and combined door-to-door performance of multiple matters, but also has real service personnel to provide fallback support when facing complex communication, elderly-friendly assistance and on-site after-sales exceptions, so as to combine the scheduling efficiency of online AI with the sense of trust of offline near-field services.

A/B Dual-Track Revenue Sharing and Commercialization Path Advanced in Three Stages

In terms of business model and financial accounting design, Gesong has established two types of A/B business revenue sharing mechanisms: Category A collects daily consumption and life service businesses for family users, and Category B collects B-end service businesses for enterprises, merchants and brands, such as express end-point collection and delivery, physical verification and community sample distribution. The two types of businesses independently collect revenues and direct costs respectively, avoiding cross-subsidy and account confusion between different business lines, and strictly distinguish the total merchandise transaction volume (GMV) from the actual recognized revenue of the platform. This mechanism can not only provide relatively stable B-end basic traffic and cash flow support for community service stations, but also facilitate the clear evaluation of the real gross profit and unit economic model of C-end family services during the model verification period.

At present, Gesong is on the eve of project preparation and the launch of model station construction. The site selection in the first stage will focus on mature communities in Beijing, giving priority to selecting areas with a house age of more than 5 years, about 2000 to 3500 permanent households, high occupancy rate and sufficient surrounding supermarket and express in and out volume. The team has formulated a three-step plan with a 18-month duration and advanced by stage acceptance thresholds (Gate): The first stage (M1-M6) will complete the construction of the independent service entrance MVP, store operation system and the first 1 to 2 standard service stations, focusing on running through the closed loop of resident order receiving, supermarket agency procurement, combined door-to-door service and after-sales processing. The physical radiation range of the stations is expected to cover 4000 to 6000 community households (referring to the radiation range, not the number of registered or paying users); the second stage (M7-M12) will expand 3 to 5 model stations with different community characteristics in batches after the first store model passes the stage acceptance, focusing on testing the unit economic model of a single station and the operation capability that does not rely on the founder's on-site presence; the third stage (M13-M18) will promote the small grid collaboration of 3 to 5 model stations in the same urban area, verify the cross-station centralized procurement, transportation capacity complementarity and unified management mechanism, and precipitate the standardized station construction and training manuals for subsequent replication.

Six Years of Community Performance Accumulation, Transition to Professional Manager Replication

Gesong is not a pure conceptual deduction starting from scratch, and its methodology comes from the long-term front-line accumulation of the initiator team. Wang Tong (NEO), the project initiator, has participated in community life service practices in Fengtai District, Beijing since 2012, founded the "Gesong" brand at the end of 2013 to explore community errand agency, launched the WeChat service account in September 2014, and successively expanded food delivery, travel car hailing, supermarket purchasing and convenient services. From 2015 to 2016, the business entered its peak period. According to the founder's recollection and historical business data, the daily average order volume of relevant businesses once exceeded 300 orders, with a peak of about 400 orders (the volume of express parcels is counted separately). The 2017 annual historical operation summary also recorded 285 cleaning services, 167 mite removal services, more than 50 maintenance services, 31 nanny matching services, 14 moving services and other non-standard services. It once cooperated with agricultural and commercial resources to organize a community group purchase of more than 2,500 kilograms of rice and fresh fruits at a single time, and provided long-term telephone purchasing and medical escort pickup and drop-off assistance for 23 community elderly people. In 2019, the original business suspended operation due to family care reasons.

At the team and governance level, Gesong under preparation clearly distinguishes past personal experience from the organizational replication goals of the new stage. In this round of project, initiator Wang Tong will serve as a deeply involved founding consultant and chief business architect, focusing on business model design, AI application scenario architecture, standard service station system construction, seed store manager training and key node review; while the company's daily operation management, personnel recruitment and scheduling, merchant cooperation and front-line execution of model stations will be undertaken by the full-time professional manager team formed later, so as to gradually get rid of the traditional community service's dependence on the founder's on-site presence.

According to the financing plan, of the RMB 27.5 million to be raised in this round, RMB 23.03 million will be invested in six directions: product technology R&D, AI capability building, headquarters team and operation, model station construction and training, market promotion, as well as legal audit and intellectual property preparation; the remaining RMB 4.47 million (accounting for 16.25% of the total financing) will be used as a risk reserve to cope with construction cycle fluctuations, operation ramp-up and capital turnover demands. Under the background of increasingly rich consumer supply but still fragmented performance coordination, Gesong hopes to become a reliable entry for families to handle daily affairs that "can find people, follow up orders properly, and get things done well", so that AI can truly integrate into the community daily life of ordinary families.