AI Case Studies
Finance and Accounting
Profet AI assists the finance and accounting departments in building predictive models and analyzing various financial data, helping to formulate more precise financial strategies.
Application Scenarios
Market Forecasting, Root Cause Analysis
Import and Export Customs Exchange Rate Prediction
In international trade, exchange rates during import and export customs clearance directly affect business costs. Traditionally, exchange rate calculations relied on experienced finance personnel using historical data and external indicators, which was time-consuming and inconsistent.
Pain Points Analysis:
- Unpredictable Exchange Rate Fluctuations: Exchange rates are influenced by numerous factors and are highly volatile.
- Required Experience and Expertise: Experienced finance personnel can make predictions based on various indicators, but inexperienced staff struggle with accurate estimates.
Outcome Benefits:
- Improved Efficiency: AI predictions increase work efficiency by 20%.
- Risk Reduction: Early cost estimates for imports and exports reduce exchange rate risk by 15%.
Accounts Receivable Bad Debt Prediction
Transactions between businesses have evolved from cash and L/C transactions to predominantly credit transactions. While credit transactions can boost business revenue, they also carry higher account risk and cost.
Pain Points Analysis:
- Time-Consuming Manual Checks: Finance personnel spend significant time manually checking payment days for each customer’s accounts receivable.
- Inaccurate Manual Predictions: Manual predictions may not account for all factors, leading to inaccurate collection forecasts.
- Limitations of Current Solutions: There is a lack of efficient, accurate models for predicting accounts receivable collection days.
Outcome Benefits:
- Efficiency Gains: Shortened calculation time, improving work efficiency by 22%.
- Risk Mitigation: Early assessment of customer credit status allows for measures such as adjusting credit policies and strengthening collections, reducing bad debt risk by 8.5%.
Key Factor Analysis Affecting Gross Profit Margin
Gross profit margin reflects a company’s operational efficiency and profitability. Analyzing the factors affecting gross profit margin allows businesses to take effective measures to improve it.
Pain Points Analysis:
- Inefficient Manual Analysis: Traditional analysis relies on manual work, involving data collection, organization, and analysis, which is labor-intensive and prone to errors.
- Inaccurate Results: Manual analysis is subject to subjective bias, leading to inaccurate results.
Outcome Benefits:
- Better Cost Management: Model-based analysis of various factors affecting gross profit margin helps manage production costs.
- Rapid Identification: Financial personnel can quickly identify reasons for changes in gross profit margin and adjust strategies to respond to market changes.