Context: Global commodity pricing and intelligence platform serving 600+ editorial staff.
Challenge: Editorial team needed to extract key insights from 145,000+ historical articles and 800 daily market-moving stories to identify trends and generate actionable intelligence – all without manual reading.
Solution: Built an AI-driven text generation system using:
Outcome: Enabled the editorial team to rapidly surface market trends, generate summaries, and produce data-driven intelligence – dramatically reducing manual research time.