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Most supply chains do not fail because of bad data or poor strategy. They fail because information moves too slowly. Sales, operations, and service often operate in silos, making decisions that are optimized locally but suboptimal for the enterprise as a whole.

That disconnect is why even the best supply chain planning tools often fall short. They cannot see across departments and adapt fast enough to changes happening in real time.

The convergence of ketteQ’s PolymatiQ™ agentic AI engine with Salesforce and Agentforce changes that equation. Together, they make intelligent experimentation not just a supply chain capability, but an enterprise-wide advantage.

From Planning in Isolation to Planning in Context

In most organizations, planning has been confined to the supply chain function. Planners focus on forecasting, inventory, and production, while sales and service teams chase their goals. The result is fragmented decision-making, where one department’s success can unintentionally create another’s problem.

By integrating PolymatiQ™ with Salesforce, intelligent experimentation now spans every corner of the enterprise. The system can pull live data from Sales Cloud, Service Cloud, Manufacturing Cloud, and other Salesforce environments to run synchronized simulations across departments.

Par exemple :

  • A sales opportunity enters a new stage in Salesforce. PolymatiQ™ immediately evaluates production capacity, supplier availability, and logistics constraints, then recommends an accurate promise date.
  • A service event occurs in the field. PolymatiQ™ runs predictive experiments to determine which parts to stock, where to position inventory, and how to prevent similar issues.

This integration transforms experimentation from a supply chain exercise into a living and  connected decision-making system.

Want to see how PolymatiQ™ and Agentforce are redefining collaboration between sales, service, and supply? Download the full guide: The Complete Guide to Intelligent Experimentation in Supply Chain Planning.

How Agentforce Extends Intelligent Experimentation

If PolymatiQ™ is the brain that runs AI-driven experiments, Agentforce is the connective tissue that distributes those insights across the enterprise.

Agentforce takes the results of PolymatiQ’s experiments and translates them into context-specific recommendations for each function.

  • Sales teams see reliable promise dates based on current constraints.
  • Service teams receive proactive alerts before stockouts occur.
  • Supply chain teams gain visibility into how customer activity impacts planning.

This creates a continuous loop of learning and adaptation, where every decision informs the next. Agentforce ensures that insights from experimentation are not trapped in planning systems but shared across the organization in real time.

Why This Matters Now

Businesses are pressured to make faster, smarter, and more connected decisions. Markets shift daily, and the cost of delay can be enormous.

Traditional systems respond by pushing data in one direction: from planning to execution. The PolymatiQ™ and Agentforce combination reverses that flow, creating a feedback loop where execution informs planning continuously.

This means planners no longer operate in isolation. They plan in context with live information about sales demand, service commitments, and supplier performance feeding directly into their models.

The result is faster alignment, better forecasting, and stronger cross-functional collaboration.

From Firefighting to Intelligent Orchestration

Every planner knows the feeling of scrambling to respond to last-minute changes from sales or service. Intelligent Experimentation eliminates those surprises.

By integrating PolymatiQ™ with Salesforce and Agentforce, companies can run AI-driven experiments across their entire operation. They can see how a sudden demand spike in one market will affect manufacturing capacity, supplier performance, and delivery schedules everywhere else.

This creates what many organizations have long promised but rarely achieved: a truly synchronized enterprise.

Instead of firefighting, teams operate as intelligent orchestrators aligning every decision with shared goals for cost, service, and growth.

Building the Foundation for Adaptive Planning

This convergence is not just about efficiency. It is the foundation for Adaptive Supply Chain Planning, where systems learn continuously and adjust strategies automatically.

Intelligent Experimentation supplies the learning. Agentforce supplies the reach. Together, they enable a new kind of enterprise, one that evolves as quickly as the world around it.

Companies that adopt this model are already seeing measurable gains in agility, customer satisfaction, and profitability. And they are doing it without replacing their core systems or disrupting daily operations.

The Next Era of Enterprise Planning

The partnership between ketteQ’s PolymatiQ™, Salesforce, and Agentforce represents more than a technology integration. It is the blueprint for the next era of enterprise planning, one defined by real-time learning, connected intelligence, and adaptive decision-making.

Organizations that embrace this model will redefine planning. They will make smarter, faster, and more connected decisions than ever before.

Those who continue operating in silos will find themselves outpaced by those who experiment, learn, and adapt.

Download the Full Guide

Discover how ketteQ’s PolymatiQ™ agentic AI engine, integrated with Salesforce and Agentforce, enables enterprise-wide Intelligent Experimentation.

Download, The Complete Guide to Intelligent Experimentation in Supply Chain Planning, to see how this breakthrough is connecting data, decisions, and results across sales, service, and supply.

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A propos de l'auteur

Sneha Bishnoi
Sneha Bishnoi
Vice-président de la gestion des produits

Sneha Bishnoi is Vice President of Product Management at ketteQ, where she leads product strategy and innovation for adaptive supply chain planning solutions built on Salesforce. She has extensive experience implementing legacy supply chain planning systems at leading companies worldwide, giving her a unique perspective on the limitations of traditional approaches and the opportunities unlocked by modern, AI-powered planning. With a background spanning product management, consulting, and data science, Sneha brings deep expertise in operations research, advanced analytics, and digital transformation. She holds a master’s degree in operations research from Georgia Tech and a Bachelor of Engineering in Computer Engineering from the University of Mumbai.

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