Ideas, case studies, and perspectives from the PetalKube team on AI, computer vision, facility management, and retail intelligence.
The AI adoption gap isn't a technology problem — it's a workflow problem. Most enterprise AI is designed in isolation from the operational reality it's supposed to improve. Here's how we think about this, and how it shapes every product we build.
SOS is one of the most important metrics in retail — and one of the hardest to track manually. We break down what it is, why it matters, and how Merchant Eye automates it.
Traditional FM systems are good — but the constant data entry becomes a major additional burden that defeats the purpose of fast operation. FM360ai was designed to eliminate this.
A deep dive into the product detection and brand identification AI models behind Merchant Eye — how they're trained, what they detect, and how accuracy compounds over time.
We're proud to share our collaboration with Jaleel Distribution LLC — one of Dubai's leading distributors — implementing Merchant Eye for shelf analysis and merchandiser management across their network.
FM360ai doesn't have one AI — it has 20+ specialised agents, each built around a specific real-world workflow. From ticket triage to predictive maintenance to budget optimisation. Here's how they work together.
When we founded PetalKube, we made a deliberate decision to specialise in computer vision and ML over general AI consulting. Three years in, here's why that decision was right.
Ensuring every store follows planograms manually is impossible at scale. We explore how AI-driven image analysis changes the equation for CPG companies and their field teams.
A reflection from our founders on the journey from idea to two deployed enterprise products, the lessons learned from real-world AI deployment, and where we're heading next.
No fluff. Just clear thinking on AI, computer vision, and enterprise operations — from the PetalKube team.