Train AI with accounting data
1. User authorizes accounting access
Your users authorize your application to access their accounting platform by going through an authorization flow using Merge Link.
2. Retrieve comprehensive accounting data
Utilize Merge’s API endpoints, such as GET /balance-sheets, GET /cash-flow-statements and GET /invoices, to retrieve comprehensive accounting data.
3. Clean and transform data
Clean the data by removing duplicates in your customer data, handling missing values, and filtering out irrelevant fields. Transform data into a format suitable for AI training, possibly involving normalization, encoding, or feature engineering.
4. Validate model performance
Validate the model’s performance using the testing set. Compute relevant metrics to gauge the model’s effectiveness.
5. Monitor and retrain
Continuously monitor accounting data for updates, changes, and new information. Implement a feedback loop for model retraining and improvement to adapt.
6. Surface insights to customers
Build a UI to provide your customers with valuable insights generated by the AI models, such as forecasts on cash flow, recommendations for cost optimization, or identification of potential financial risks.
