๐ Disruption Map Template
+----------------------+----------------------+----------------------+----------------------+
| Industry | Pain Points | Existing Tech | Leverage/Disrupt |
+----------------------+----------------------+----------------------+----------------------+
| Example: Lawn Mowers | - Drift on slopes | Drone VIO, SLAM, | - Apply visual-inertial |
| | - Obstacle handling | Stereo Cameras | odometry to correct |
| | - GPS unreliability | RTK GPS, IMU fusion | drift and slope |
| | - Manual mapping | AI mapping libraries | - Sensor fusion & AI |
+----------------------+----------------------+----------------------+----------------------+
| Example: Banking | - Slow loan approval | AI credit scoring | - Automate approvals |
| | - Manual risk checks | Predictive models | with ML + data |
| | - Fraud detection lag| Real-time analytics | - Fraud AI detection |
+----------------------+----------------------+----------------------+----------------------+
| Example: Retail | - Inventory errors | RFID, Drones, IoT | - Auto inventory tracking|
| | - Delayed restock | Vision systems | - Predictive restock AI|
+----------------------+----------------------+----------------------+----------------------+
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How to Use This Template
- Industry column โ pick the sector you want to analyze.
- Pain Points column โ list the inefficient, human-heavy, or error-prone parts.
- Existing Tech column โ identify mature technologies from other domains that could address these points.
- Leverage/Disrupt column โ brainstorm how applying that tech smarter or differently could create a competitive advantage.
๐น Tips for Maximum Impact
- Look for incumbents ignoring software or relying on legacy human processes.
- Focus on software-first, perception-first, AI-first solutions โ these often scale faster.
- Cross-domain inspiration is key: take mature tech from drones, AR/VR, logistics, gaming, robotics.
- Safety, regulations, and user experience are often overlooked โ fixing these can be a huge edge.
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