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For years, supply chain organizations approached planning-system modernization with a familiar mindset: if performance slows, replace the platform. If results plateau, assume the system has reached its limits. But something significant has changed among today’s most forward-looking supply chain leaders, especially those who rely on Logility as a core part of their planning environment.

These leaders are not abandoning their systems. They are preserving the value they’ve built and augmenting the capabilities that no longer keep pace with an increasingly volatile world.

This shift reflects a new ROI mindset for 2026, one focused on precision enhancement rather than wholesale replacement.

The Modernization Mirage

Companies that use Logility have invested years, sometimes even decades, in refining integrations, strengthening data foundations, optimizing models, and training teams. When performance begins to stall, it can be tempting to believe a new platform will unlock the next wave of value.

But organizations that take the rip-and-replace path often face similar challenges:

  • Implementations that stretch into multi-year transformations
  • Escalating complexity that pushes timelines and budgets
  • Change fatigue across planning, IT, and operations teams
  • A moving finish line as business conditions shift mid-project

The surprising outcome is that replacement rarely delivers the agility leaders expect. A new system may look modern on day one. Still, it cannot solve the structural challenge: planning in an environment defined by constant change, shrinking decision windows, and unpredictable variability.

Agility doesn’t come from rebuilding everything.

It comes from elevating the intelligence of what you already have.

Why Enhancement Is Now the Preferred Strategy

Leaders using Logility increasingly recognize that the system itself is not the constraint. Instead, the challenge lies in the growing complexity around it.

They already have:

  • A stable, deeply understood planning foundation
  • Integrations built through years of operational learning
  • Structured, trusted data models
  • Teams that know the system better than any new tool on the market

Replacing this foundation introduces unnecessary risk and disruption.

Enhancing it accelerates value almost immediately.

Targeted augmentation strengthens the specific areas where traditional planning systems struggle:

  • Solve times slow as models and constraints expand
  • Scenario planning lacks depth and speed
  • Mid-cycle adjustments become difficult
  • Deterministic models fail to reflect real-world variability

By layering adaptive intelligence on top of Logility, leaders retain the value of their core system while dramatically extending its capability to sense, predict, decide, and act.

The Real Decision: Static Systems or Adaptive Systems

When discussing modernization with CIOs and COOs, the conversation is no longer about old versus new platforms; it’s about whether your planning environment can evolve at the speed of the business.

Today, enterprises face three choices:

  1. Rip and replace your entire planning stack, hoping the new system can keep up with growing volatility.
  1. Continue with your current system and hope for the best, knowing its limitations will ultimately constrain performance.
  1. Add an adaptive intelligence layer that enhances your existing infrastructure and continuously evolves with your business.

In an environment defined by uncertainty and rapid shifts, the third path is not only faster—it’s strategically superior.

Enterprises that scale effectively do so by strengthening their foundation and building upward, not by starting over.

PolymatiQ™: The Adaptive Intelligence Layer That Elevates Logility

PolymatiQ™ changes what it means to modernize a planning system.

It is not a replacement for Logility.

It is an adaptive AI engine that enhances Logility, turning it into a continuously optimizing decision system.

Once PolymatiQ is layered onto a legacy planning system, the planning experience shifts quickly:

  • Planners move from reacting to anticipating
  • Plans reflect real-time conditions instead of last week’s assumptions
  • Scenario testing becomes fast enough to influence decisions, not just document them
  • The environment adapts dynamically as conditions change

Leaders often describe this as the moment their planning system finally “comes alive.” Decisions become faster, clearer, and better aligned to the realities of the business.

This enhancement-first approach aligns directly with how Gartner and leading consulting firms now define modern supply chain transformation: augment existing systems with intelligent, autonomous, and agentic layers that drive rapid value.

The ROI Advantage: Real Operational Gains, Not Just System Gains

Organizations that augment legacy planning systems with PolymatiQ™ report improvements that materially change business outcomes:

  • Higher utilization across plants and assets
  • Reduced waste in production and procurement cycles
  • Faster, more confident demand-supply balancing
  • Improved customer delivery performance and promise accuracy
  • More reliable inventory levels and fewer last-minute firefights

These improvements typically emerge in the first planning cycle, rather than months or years later.

Just as importantly, enhancement avoids the high cost and disruption of platform replacement:

  • No steep learning curve
  • No process rebuild
  • No lost institutional knowledge
  • No major IT overhaul

Enhancement accelerates value. Replacement postpones it.

What High-Performing Organizations Are Doing

Across the mid-market and enterprise landscape, companies using legacy planning systems are choosing augmentation as their modernization strategy. They are:

  • Preserving the investments they have already made
  • Strengthening the parts of the system that work well
  • Adding PolymatiQ to expand capability, speed, and adaptability
  • Achieving results, traditional transformation programs rarely reach

This is not a conservative approach.

It is a more strategic, capital-efficient, and future-ready approach.

These leaders are prioritizing:

  • Speed instead of disruption
  • Precision instead of complexity
  • Measurable outcomes instead of theoretical improvements
  • Intelligence instead of system replacement

And they are widening the performance gap between themselves and peers who continue down traditional paths.

Le bilan

If your Logility system feels like it has reached its limits, replacing it will not guarantee better performance.

Enhancing it will.

PolymatiQ™ transforms Logility into an adaptive, real-time decision-making system without disrupting existing processes or dismantling the infrastructure your teams rely on.

You do not need to start over.

You need a smarter layer.

To explore how adaptive intelligence can expand the value of your Logility investment, download our full guide:

The Guide to Unlocking More Value from Logility with ketteQ’s PolymatiQ™ AI Engine.
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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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