Budget: 5000 EUR Deadline: 45 days
Hello! I am the project manager of Business Atlas. I have reviewed your technical assignment. This is a complex task of creating an operational ecosystem for service stations, where AI acts not just as a chatbot, but as a full-fledged intelligent assistant.
Here is a professional analysis and proposal for implementation:
Technical expertise of the project
• Architecture: The use of the n8n stack, OpenAI, and Airtable is a strategically correct decision. This allows for flexibility in business logic and rapid scaling without capital investments in development from scratch.
• Integration layer: The most responsible stage is stitching the system with supplier catalogs. We have experience with API integrations and processing unstructured data (Excel/CSV), which will allow us to automate the retrieval of current prices and labor norms.
• Document processing: Implementing an OCR module for recognizing technical passports will significantly reduce the time for application registration and eliminate errors in manual VIN code entry.
Implementation strategy
We will build a system where AI takes on 90% of operational routine. The key focus will be on multi-level classification of requests and a verification block for calculations by the manager before sending to the client. This ensures financial accuracy and quality control of services.
Commercial terms (MVP)
• Budget: $3,500 – $5,500. The final cost depends on the complexity of the supplier's API and the number of connected channels (TikTok, Instagram, WhatsApp, etc.).
• Timeline: 35–45 working days. The work is divided into stages with clear acceptance criteria.
• Support: 30 days of technical support after launch for fine-tuning models to your specifics.
Why us?
I have implemented over 50 projects in the field of business automation in the markets of Ukraine and the EU.
I propose to conduct a short technical diagnosis to analyze the methods of connecting to your suppliers and agree on a roadmap.
I look forward to your feedback to move on to the next stage.