Resources
Insights & Case Studies
Buyer explainers, expert perspectives, and customer proof across wind energy, retail execution, and physical AI.
Scaling Retail Execution Across 485,000 Outlets
How a global beverage brand used Clobotics AI to expand outlet coverage, lower visit costs, and return to revenue growth in Southeast Asia.
What the 2026 World Cup Reveals About Real-Time Retail Campaign Execution
How food and beverage brands can monitor campaign materials, promoted products, prices, placement, and competitor activity while there is still time to act.
What Is Wind Intelligence? A Practical Guide to Blade Lifecycle Management
Wind Intelligence connects blade inspection, defect analysis, repair planning, and asset records so wind operators can make faster maintenance decisions across the turbine lifecycle.
How to Choose a Retail Execution Platform: A Practical Guide for Enterprise Teams
A practical guide to evaluating retail execution software across field usability, capture methods, market experience, data quality, master data, security, pricing, and enterprise integration.
Robotics for Blade Repair: How Sparrow Is Changing Leading-Edge Maintenance
At the Global Wind Turbine O&M Forum in Barcelona, Clobotics shared how Sparrow grew from a rough idea into a drone-delivered repair robot for wind turbine blades.
Scaling Up Blade Inspections in Brazil: A Case Study
ArthWind and Clobotics complete inspections of 5,000 wind turbines in Brazil using Clobotics IBIS™ drone technology, serving one of the world's five largest wind energy markets.
Why DaaS Beats DIY Blade Inspections
Clobotics makes the case for Drone as a Service over do-it-yourself drone inspection — covering image quality, analysis accuracy, and data consistency.
Why Clobotics Believes That 1+1=3 When It Comes to Automating Blade Inspections
Integrating IBIS™ drone capture with IRIS™ AI analysis delivers synergistic results — complete damage assessments in minutes, not days.
The Case for Open Standards Around Blade Inspections
As autonomous drone inspection and machine learning mature, the wind industry needs open data standards for blade inspection — to prevent vendor lock-in and enable integration with condition monitoring systems.
Making the Case for More Frequent Blade Inspections
Autonomous drone technology and machine learning have made frequent wind turbine blade inspections economically viable — enabling operators to optimize repair timing and reduce leading edge erosion losses.