Power Apps AI Industry Scenario Library

Pain point: Legal reviews the 50+ contract every week, and key terms (liquidated damages/confidentiality period/payment conditions) are easily missed through manual verification.

Solution: Power Apps upload PDF → AI Builder OCR extracts text → Azure OpenAI extracts key terms according to the preset prompt → compare with standard template → highlight risk points.

Pain point: IT operation and maintenance averages 200+ work orders per day, and manual classification + order dispatch averages 15 minutes/order.

Solution: Power Automate monitors the mailbox/Teams → AI Builder category classification (network/hardware/software/account) → queries the skill matrix → dispatches to idle engineers → Teams notification.

Pain points: Leads are evenly distributed every month 500+, sales follow-up efficiency is low, and type A customers are overwhelmed.

Solution: AI Builder trains a prediction model based on the transaction data of the past 2 years (15+ characteristics such as industry/size/position/activity) → automatically scores new leads 0-100 → 80+ and assigns them to gold medal sales first.

Pain point: SKU 5000+, replenishment based on experience, best-selling products out of stock + slow-selling products backlog.

Solution: Azure Machine Learning trains time series models (historical sales/seasons/promotions/weather) → Power Apps displays SKU 30 day forecast + replenishment suggestions → generate purchase orders and push SAP with one click.

Pain points: Popular positions 200+ Resume/week, HR initial screening is time-consuming and subjective.

Solution: Receive resumes in email → AI Builder OCR + form extraction (education/experience/skills) → GPT score by JD 0-100 + Reasons for recommendation → Top 20 automatically arrange interview invitations.

Pain point: key equipment suddenly fails and stops production 1 days, resulting in 500,000+ loss, and subsequent maintenance costs are high.

Solution: Azure IoT Hub collects temperature/vibration/current → ML anomaly detection model → Power Apps mobile work order → Power Automate dispatches engineers for preventive maintenance.

Pain points: Customer service 7x12 responds to 80% repeated problems, high labor costs, and service interruptions at night.

Solution: Copilot Studio accesses SharePoint product documentation/FAQ as a RAG source → deploy to Web/Teams/WeChat → automatically transfer complex issues to humans + carry conversation context.

Pain points: It takes a long time for employees to take invoices and post orders + financial entry, and there is a backlog of reimbursement at the end of the month.

Solution: Power Apps mobile terminal to take pictures and upload → AI Builder bill OCR (amount/tax number/date) → automatically verify the authenticity of the tax number → Power Automate to go through the approval process → push Yonyou/Kingdee.