Engineers and operations leaders frequently struggle with outdated or cost-inefficient materials in their BOMs, requiring tedious manual searches for individual parts. To solve this, we developed an automated platform that instantly analyzes a BOM to help teams make informed, forward-looking purchasing decisions without the tedious manual review.

Under the hood, the system integrates a news API alongside Claude's API to evaluate each component's market status in real time. By processing this contextual data, the tool accurately predicts whether a specific part is at risk for sudden price increases or is at risk of becoming obsolete.

Many new snowboarders get overwhelmed by endless product research when trying to find the perfect board for their unique body type and goals. BoardBuddy eliminates this guesswork through a custom measurement analyzer that calculates the ideal board size based on a user's weight, height, shoe size, skill level, and desired riding style.

The recommendation engine is powered by a custom database built by scraping community sentiment and discussions from Reddit using a Codex bot. Additionally, the platform provides specific snowboard model recommendations and features a "mountain log" so users can track if their equipment actually performs exactly as they intended on the slopes.