Airship Adds AI Capabilities to Decisioning AI

Airship, a mobile-first customer experience company, today introduced capabilities that activate customer insights and real-time context through a single platform. Building on its Airship Decisioning AI for mobile platforms like iOS 27, Airship helps companies understand customer behavior in the moment and deliver personalized mobile interactions that drive conversion and revenue.

Airship Decisioning AI pairs customer profile data with real-time context, running these decisions locally based on active session signals like current screens, cart status, and in-app behavior.

"Relevance at scale is the new standard for modern enterprise brands," said Brett Caine, CEO of Airship, in a statement. "For over 15 years, our mobile expertise across billions of customer journeys has pioneered how the world's leading brands connect with customers on their most personal devices. Today, we're taking that further with on-device decisioning AI and integrations with leading data warehouses to help brands deliver the right in-app experience the moment customer intent is determined–driving measurable revenue, retention, and loyalty. We tie our value to business outcomes, backed by our Airship Results Guarantee."

"The moment that matters most is the instant a screen loads, and that's exactly when waiting on the cloud costs you," said Mike Herrick, chief technology officer of Airship, in a statement. "So we moved that decision directly onto the device. Brands bring what they already know about their customer from their data warehouse, the app adds what's happening in the moment, and the right experience is chosen instantly. Since decisions happen in the app, customer data stays completely secure. For product, mobile, and digital experience leaders, that means personalization that keeps up with their customers at the speed of mobile."

Key capabilities for real-time personalization include the following:

• On-device decisioning AI, which evaluates contextual logic locally on the user's device when a screen loads.
• Zero copy, which reads profile data directly from leading data warehouses.
• External data feeds that pull live information (like weather or store inventory) directly into messages at render time.
• Data Branching that routes each user down the best path based on real-time, on-device context.
• Automated action triggers that turn data insights into instant triggered actions, like automatically helping customers complete abandoned shopping carts.
• Built-in analytics and real-time data streams that send user behavior insights back to warehouses in an open Parquet format.