AquaSmart: Industrial Cooling Water Solution Soha Elaskalani Ragab Wharton Entrepreneurship Capstone
Problem Industrial cooling water treatment is inefficient and expensive Traditional chemical-only methods cause high costs and downtime
Solution AquaSmart integrates sensor data, predictive analytics, and chemical expertise Simplified: sensors track water quality, analytics predict issues, experts optimize treatment High-margin, scalable service model
Target customers Power plants, factories, and industrial facilities using cooling water systems Clearly show main customer segments
Competitive advantage Data-driven optimization unlike chemical-only providers Predictive analytics reduce downtime and costs Scalable service model ensures recurring revenue
Revenue Model Subscription/service-based model Highlight projected margins and cost savings for customers Optional: small chart or icon to visualize revenue streams
Peer Feedback Peer 1 Pongpatl AquaSmart I like your idea but the predictive analytics part is a bit hard to follow. Maybe explain it in simpler words and show who your main customers are so it’s easier to see the value. Peer 2 Annick Schiedon Smart Health Smarter Future Your project is interesting but I think the problem could be clearer. Adding a statistic or a short example would help people understand why it matters. Also explain what makes your solution unique. Peer 3 Alex Trash2Cash Your idea is promising but the slides are a little confusing. You could use a simple diagram to show the problem and your solution. Also adding some details about the revenue model would make it stronger.