KIBO AI Launches Unified Agentic Commerce Platform
KIBO Commerce has launched KIBO AI, the latest iteration of its agentic commerce platform. This new version offers a unified artificial intelligence experience across commerce and order management functions, bringing together a single interface that supports all roles within these areas. The platform aims to simplify agentic interactions with one consistent experience for users and an unseen network of specialized agents operating in the background.
This platform is designed around three architectural pillars: a single, unified data model that spans both commerce and order management, a Bring Your Own Model (BYOM) approach that eliminates dependence on any specific large language model, and KIBO’s proprietary Agentic Framework. These pillars work together to create a flexible and open system, allowing clients to connect any large language model of their choice. This model-agnostic approach gives businesses the freedom to avoid vendor lock-in and select models they already trust and rely on.
Five Core Functions for Agentic Commerce
KIBO AI is organized around five key functions that collectively cover all agentic use cases across commerce operations and order management. These core capabilities include Configuring, Explaining, Analyzing, Engaging, and Optimizing. Each function is purpose-built and designed to streamline and enhance different aspects of business operations.
The Configure function enables users to set up and modify platform settings and rules using natural language commands. For example, operators can create a 15% discount for loyalty members on all footwear for a weekend event or update routing rules to prioritize a specific distribution center for certain regions. The Explain function provides clear, straightforward explanations for complex operational data without the need for technical queries or manual report reviews, offering answers in real time. The Analyze function delivers advanced AI-driven insights by identifying trends, anomalies, and cross-functional data patterns across the entire commerce and order management system. Engage supports real-time, conversational interactions with shoppers and buyers across all digital channels, handling tasks such as product discovery, order status updates, returns, and personalized recommendations. Optimize, the most autonomous of these functions, continuously monitors business variables and automatically adjusts system parameters to achieve predefined goals like optimizing inventory allocation, setting pricing rules, or configuring fulfillment service level agreements.
The BYOM feature of KIBO AI enables clients to use models such as OpenAI, Anthropic, Google Gemini, or open-weight models, aligning with their existing AI investments and strategies. This eliminates the need to transition to a proprietary model, which often introduces limitations or increased costs. With this flexibility, businesses can adapt their AI solutions to their specific needs and preferences without being restricted to a single vendor.
KIBO AI also introduces the concept of Playbooks, a powerful feature that allows businesses to automate repetitive tasks through saved, plain-language prompts. These prompts trigger the Configure, Explain, and Analyze functions automatically or on demand. For example, a rule might state, 'When a product is created without a description, draft one in our brand voice and flag it for approval.' The platform runs these tasks with the appropriate permissions, ensuring data integrity and maintaining a record of each execution. This automation streamlines operations, reduces manual effort, and ensures consistency in execution.
The launch of KIBO AI represents a significant milestone in the evolution of agentic commerce. By consolidating KIBO's initial capabilities into a unified framework, the company is delivering greater control and flexibility to its clients. The platform eliminates the complexity of managing multiple agents and models, while still enabling deep specialization in the background. With a single data model that spans commerce and order management, KIBO AI ensures all interactions are consistent and built on real-time data, enhancing decision-making and operational efficiency.
Eric Rosado, Chief Product Officer at KIBO Commerce, emphasized the strategic importance of the platform's design choices. He noted that while the market is moving quickly, choosing the right architectural direction is essential to avoid future debt and inefficiencies. Rosado added that KIBO AI is built to augment client execution teams, providing them with tools and experiences that are streamlined, adaptable, and aligned with their specific needs. This approach underscores KIBO's commitment to creating platforms that scale with its clients' evolving requirements.
With the general availability of KIBO AI, the company aims to set a new standard in agentic commerce and order management. The platform's model-agnostic design, single interface, and dynamic routing of tasks across specialized agents represent a significant step forward in simplifying and optimizing business operations. By combining these elements with the BYOM approach and Playbooks, KIBO AI is positioned to deliver greater flexibility, efficiency, and control to clients across industries.
The release of KIBO AI marks a major development in the company's ongoing efforts to redefine how businesses manage their commerce and logistics ecosystems. It reflects a clear focus on creating a future-ready platform that meets the current demands of the market while avoiding the pitfalls of outdated or inflexible architectures. For businesses looking to streamline their operations, improve customer experiences, and reduce costs, KIBO AI offers a powerful and scalable solution.