Cseriti thing (eCom, IoT): GTM-strategy, business planning

Detailed final result (PDF): http://caticloo.com/wp-content/uploads/2024/12/Business-Plan-Cseriry-HU.pdf

We are looking for a solver to research new trends and innovations in the field of sustainable clothing consumption. There is a hypothesis that the Hungarian market is not yet exhausted, and the business models used can still be improved. In terms of resources, we have investments, but we should rely on the possible minimum. The project will also make sense if it is possible to reach at least breakeven in 1 year, and it is best to recoup all investments during this time and start receiving the first profit. It is necessary to study the possibilities and needs of the sustainable clothing consumption market

Research conducted to evaluate the feasibility of implementing a smart charitable clothing collection system in Budapest, Hungary. The goal was to assess market potential, logistics requirements, and technical implementation possibilities.

Analyzed Budapest's population demographics and clothing donation patterns

Evaluated existing container systems and technology solutions

Calculated potential collection volumes based on population data

Designed process workflows for clothing collection and sorting

Assessed technical requirements for smart containers and authentication

Market Potential: With 1.7 million residents and 25% willing to donate, estimated annual clothing donations could reach 1,062,500 kg

Collection Rate: 3000 kg target volume achievable within 1-4 weeks depending on seasonality

Technical Solution: Identified viable MVP using Alibaba containers, Wi-Fi scales, cloud storage, and QR authentication

Process Optimization: Developed efficient workflows for logistics, warehouse operations, and online listing

Implement phone number + DeviceID authentication to prevent system abuse

Create separate "Vintage" section for high-value items

Start with MVP solution to validate assumptions before larger investment

Focus on seasonal collection patterns for optimal resource allocation