Local-first AI through Ollama
Resell AutoBot is designed around local Ollama models. This keeps the core AI analysis workflow on the user's computer rather than requiring listing photographs to be sent to a third-party AI API.
Damage and condition evidence
For footwear, analysis can look for resale-impacting evidence such as tears, splits, sole separation and visible wear. The result is decision support rather than a guarantee about hidden condition or authenticity.
AI priority queue
Deeper analysis runs through a priority queue so the system can focus on the listings that appear most useful to evaluate. Search scanning and explicit saved-search alerts continue separately.
Market context alongside visual analysis
Condition evidence can be considered alongside active Vinted asking-price comparables, likely resale ranges, purchase price and ROI. This provides more context than relying on a single AI score.