At Kole Royale, Kole Samman Says AI Isn’t Just a Tool It’s the Backbone
At Kole Royale, Kole Samman Says AI Isn’t Just a Tool It’s the Backbone
Kole Sammandidn’t get into watchmaking to copy what’s already been done. Rooted in Los Angeles, where he draws much of his inspiration, Samman is building Kole Royale with a clear focus: use artificial intelligence not as a gimmick, but as a core part of how the business runs from design to delivery.
The mission is simple: keep the tactile beauty of mechanical watches, but make every step smarter, faster, and more precise.
Smarter Design, Faster Prototypes
Design starts where tradition meets tech. A rough sketch moves into a generative AI tool that produces multiple dial, case, and bracelet options in minutes. Specifications are layered in, and AI quickly tests for water resistance, thickness, and weight. Lighting models even simulate how different finishes will look in sunlight or indoor light.
This meansKole Royalecan explore more ideas without the usual delays. By the time a design reaches the manufacturer, it’s already passed several technical checkpoints, fewer surprises, faster timelines, and better output.
Data-Driven Marketing
AI helps Kole Royale connect with its audience in real time. Instead of relying on guesswork, the team uses language models to generate marketing copy in different tones, while image tools create a range of visuals. Then it all gets tested what performs best, what customers click on, what gets ignored. Campaigns adjust based on trends across search and social media, so messaging evolves as customer interest does.
Operations That Learn and Adapt
Behind the scenes, AI keeps things efficient. Models predict demand based on seasonal patterns, product launches, and ad campaigns. That means smarter inventory planning and fewer stockouts. Quality control is data-backed too supplier performance is scored so the next order is always better than the last.
Fraud detection is also automated. The system flags suspicious orders before they’re processed, cutting down on chargebacks and saving time.
Better Support, Fewer Returns
AI isn’t just for internal use, customers benefit too. Review mining reveals what buyers love and what needs work, down to details like clasp fit or lume strength. Support requests are routed more accurately, and suggested replies help agents resolve issues faster.
The team is also testing an augmented reality try-on tool. Customers can see how a watch looks on their wrist using their phone’s camera, improving fit and lowering return rates.
Automation That Doesn’t Lose the Human Touch
Routine tasks like tracking shipments or checking warranty claims are handled by lightweight AI agents. Inside the company, an internal assistant pulls answers from company documents so staff can stay focused on creative work. Every automated task is logged so it can be reviewed if needed.
Privacy and Purpose First
There’s a clear rule: AI must be useful, private, and accountable. Customer data is compartmentalized. Models are retrained on anonymized feedback. When it counts, a human makes the final call.
For Samman, AI isn’t about replacing the craft, it’s about elevating it. The goal stays the same: clean design, reliable movements, honest materials. If AI helps deliver that with more consistency and care, he’s all in.
