From System of Planning to System of Action: Inside ketteQ AI Studio

Every supply chain planning vendor has a demo. The harder question, the one most supply chain leaders are quietly failing to answer, is how you take that demo and turn it into something that actually runs your supply chain. A McKinsey study from December 2025 found that nine out of ten AI projects never move beyond the pilot stage. The problem is almost never the AI. It's the foundation beneath it.

ketteQ heard that question loud and clear, and answered it by creating AI Studio, a dedicated innovation engine built to close the gap between a compelling demo and a solution customers can actually run their business on.

The Foundation Problem

Supply chain AI initiatives fail for four consistent reasons, and none of them are about the quality of the model.

• No data foundation. Dirty, siloed data makes AI hallucinate and outputs unreliable. Without a clean pipeline, even a well-designed model produces outputs nobody trusts.  

• No scalable platform. Prototypes built on scripts and spreadsheets cannot scale to enterprise deployments. AI agents need infrastructure just as human workers need offices, systems, and access controls.  

• No integration architecture. AI that cannot connect to ERP, WMS, and CRM systems is a standalone toy. A plan that cannot reach the systems that execute it is just a suggestion.  

• No planning intelligence. Generic AI lacks the domain context to make decisions that matter. The institutional knowledge in expert planners' heads must be systematically encoded into the system.

ketteQ built its platform to address all four from the ground up: an open architecture with a clean data pipeline, native Python execution, real-time enterprise integration, and a flexible data model designed to carry custom planning logic natively. The foundation runs in production at enterprise scale today. AI Studio is the operating model built on top of it.

"The measure of a planning system is not whether it ran the plan. It's whether it knew what to do when the plan met reality."

From Idea to Production in Five Months

AI Studio is a focused team and repeatable process at the intersection of customer problems, partner domain expertise, and ketteQ's engineering capability. The operating principle: we don't just experiment with AI. We operationalize it.

The process moves through four stages:

• Identify. Ideas surface from real customer and partner conversations. Real problems with real urgency, not hypothetical use cases.  

• Prototype. AI-assisted development produces working software in two to three weeks, not a slide deck.  

• Validate. The prototype runs against real customer data over four to six weeks, with a joint go/no-go decision before any further investment.  

• Industrialize. Successful prototypes are hardened by ketteQ Engineering into production-grade, secure, scalable solutions ready for global deployment.

What historically required teams of five to ten people and one to two years now moves through this cycle in approximately five months.

Three Capabilities Already Delivering

Sales Orchestration, built with Genpact for Coca-Cola.  

A sales rep stands in a store making real-time ordering decisions across hundreds of SKUs with no reliable signal about what's actually selling. The ketteQ solution gives each rep an AI-generated recommendation incorporating historical demand, weather, promotional events, current inventory, and revenue missed from prior under-ordering. Critically, it provides the narrative behind the recommendation, so reps can have an intelligent conversation with the store manager rather than just presenting a number. Get this right across a million retail touch points, and the revenue impact compounds rapidly.

"If you get this right a million places, the revenue and margin add up very quickly. It's death by a million cuts, in reverse." — David Moss, SVP Genpact

Fulfillment Orchestration, autonomous emergency order management.  

Managing emergency service parts is a firefighting operation at most manufacturers: spreadsheets, daily triage meetings, and frequent VP-level escalations. Fulfillment Orchestration runs AI agents continuously in the background, processing orders, checking available inventory across all sites, setting promise dates, and notifying customers. In a live demonstration, 24 of 29 open orders were resolved autonomously overnight. The five requiring human attention were surfaced in a single morning briefing. Configurable guardrails encode planning intelligence, determining which orders require human review and which the system handles directly.

Performance Analytics Suite, from live data to QBR in seconds.  

Producing a coherent performance picture for a quarterly business review can consume days of analyst time. Authenticate once, select a project and date range, and fully rendered interactive dashboards load from live production data in seconds, covering Forecast Accuracy, Inventory Health, User Adoption, Plan Adherence, and Support Activity. When a metric moves in the wrong direction, Quincy, ketteQ's AI agent, performs root cause analysis automatically and surfaces specific recommendations. Built by a single developer in 45 days.

The Compounding Advantage

AI Studio has a second mandate beyond customer-facing solutions: making ketteQ's own implementation and support operations dramatically more effective. A 1% daily improvement compounds to roughly 3,700% over a year. Every project encodes something, integration patterns, tuning playbooks, solution templates, decision logic, that makes the next implementation faster and more consistent than the last.

A complete forecast health diagnostic across an entire planning portfolio now takes minutes rather than days. Weeks of manual model tuning are compressed to hours. QBR dashboards load in seconds instead of being assembled over two days from stale data. The goal is not an AI team. It is an AI-powered company.

Building at Scale with Partners

The most strategically significant dimension of AI Studio is what ketteQ can build with its partner ecosystem. ketteQ has assembled a network of consulting firms, from boutique specialists to global organizations like EY and Genpact, that possess deep supply chain expertise but lack the engineering resources to productize itsolutions. AI Studio closes that gap.

The proposition is straightforward: partners bring the ideas, ketteQ builds the prototypes, both parties validate and sell, partners deliver, and revenue is shared. Partners move from advice to technology product without building an engineering team. ketteQ expands its solution portfolio without proportional headcount growth. Every validated solution deepens platform stickiness and brings market intelligence about where supply chain demand is heading next.

The Invitation

AI Studio is a shared capability, not a closed R&D function. For customers: bring your hardest supply chain decision problems and co-design capabilities using your own data and real operational constraints. For partners: co-create solutions for your verticals and move from delivering advice to delivering a product.

A global HVAC and building systems manufacturer is in active discussions to deploy both Fulfillment Orchestration and Supply Orchestration. A major beverage bottler with a leading systems integrator is also under evaluation. These discussions reflect the growing interest in the agent-led approach.  

AI expands what is possible. Execution determines what becomes real. The companies that will lead in AI-enabled supply chain are not waiting for the technology to mature. They are building now, on a foundation that works, with an operating model designed to turn ideas into outcomes. ‍

ketteQuest is ketteQ's annual supply chain planning conference. The 2026 theme, Agents of Possibility, explored the practical and strategic implications of AI agents in enterprise planning environments.