Decision Support Agent

Managers analysed every order manually. With 200+ orders a day, decisions were made under time pressure, eroding margins.

• The manager had to personally approve every order — a bottleneck at 200+ per day
• No consistent decision rules — every manager had different criteria
• Decisions under pressure led to accepting low-margin orders
• No historical analysis — the same mistakes repeated cyclically

Deployment of an AI decision agent with configurable rules and automatic escalation

• Configurable decision rules (e.g. 'margin >12% → accept automatically')
• The agent analyses every order in real time and either decides or escalates
• Dashboard with decision history and margin trend analysis
• Automatic alerts when anomalies are detected (unusual route, suspicious rate)