Case study AFS × ChukAI

AFS realized $1M+ in incremental profit in six months with ChukAI

AFS partnered with ChukAI to identify and act on margin opportunities inside their ERP, driving $1M+ in bottom-line results.

$1M+
Realized profit accretion
H1 2026 vs. 2025 baseline
>1 pp
Margin improvement
H1 2026 vs. 2025 baseline
>3 pp
June margin improvement
June 2026 vs. 2025 baseline
2026 monthly margin trajectory
Percentage-point improvement vs. the 2025 baseline margin
Improvement vs. baseline +2.0 pp full-year target 2025 baseline

June cleared AFS's full-year +2 pp margin target, exiting H1 on an accelerating trajectory rather than a plateau. Monthly figures are not disclosed.

ChukAI understood the complexity of our business in a way most vendors don’t. They bring a unique combination of industrial segment expertise, pricing analytics, and AI capabilities. They worked alongside our team to ensure their recommendations were relevant to our operations. Their work surfaced insights that led to measurable margin improvements.
Mona Sabet SVP – Strategy & Project Office, AFS

Company overview

Six automation brands, one complex multi-entity distributor.

Company
AFS
Industry
Industrial automation distribution
Use case
Profit & EBITDA optimization
About
Leaders in industrial automation: Advanced Controls & Distribution (ACD), Adcon Engineering, C&E Advanced Technologies, Empire, Neff Power, and Professional Control Corporation (PCC).
Scale
ChukAI handled a portion of the business, analyzing 5K of AFS's customers and 30K of their SKUs.
Systems
A distribution ERP, a financial analysis platform, Oracle, and two visualization / reporting platforms.

Results by value-creation lever

How the $1M+ was created, lever by lever

ChukAI translated transaction-level intelligence into measurable profit accretion by improving pricing guidance, strengthening frontline discipline, and creating greater visibility into commercial performance.

Override governance & coaching Q1, Q2

Measured result
Override rate dropped roughly 10 pp versus the 2025 baseline.

Pricing hierarchy correction Q1

Measured result
ChukAI-controlled pricing rose about 6 pp following the fix; default pricing dropped roughly 10 pp.

Dynamic margin floors Q2

Measured result
Below-floor selling stopped and floors ran compliant following the April 1 implementation, with revenue stable in Q2.

ML-driven pricing stratification Q2

Measured result
On the guidance lines the model repriced, margin improved roughly 2 pp.

Showing lever 1 of 4: Override governance.

Challenge

A two-point margin mandate, with no clear path to hit it

AFS had a mandate to improve margin by 2 pp in 2026.

AFS leadership recognized an opportunity to improve margin, but required improved visibility and execution infrastructure to identify where margin was being lost and to translate those findings into action across a complex, multi-entity organization.

For example, system pricing guidance was primarily based on broad product-group rules. The guidance often treated products and transactions similarly regardless of supplier, customer profile, order economics, or local market dynamics. This produced prices that did not serve its suppliers, customers or AFS itself appropriately, and also reduced sales-team confidence in the guidance, contributing to frequent manual discounting.

Adding to this, incomplete and inconsistent ERP data required teams to rely on spreadsheet-based workarounds and non-standardized reporting. Leadership could monitor overall margin performance, but had to spend manual effort to isolate the customers, products, transactions, or sales behaviors driving the opportunity.

AFS needed more than improved visibility. They required a centralized, reliable data foundation, intelligent pricing guidance, and ongoing execution support to help leadership and sales teams convert margin opportunities into measurable P&L results.

Solution

An AI-native services model built for industrial distribution

AFS partnered with ChukAI as an AI-native profit-intelligence service, combining advanced transaction-level analysis with hands-on implementation support. Rather than deploying a standalone software tool, ChukAI worked alongside AFS leadership and functional teams to build a solution around the company's data, operating model, and institutional knowledge.

Creating a reliable analytical foundation

ChukAI unified ERP data and manual spreadsheets into a normalized transaction-level layer designed around how AFS actually operates. Working closely with the AFS team, ChukAI incorporated critical tribal knowledge and introduced new classifications that were not available in the source systems, including customer channel, end market, and regional market (MSA). This enabled ChukAI's ML models to evaluate pricing, cost, and margin performance accurately across customers, products, transactions, and geographies.

Adding AI intelligence

ChukAI then combined ML-driven analysis with ongoing input from AFS leadership, finance, sales operations, business intelligence, IT, and procurement. Recommendations were reviewed collaboratively, refined using operating context, and translated into practical system and process changes.

Visibility drives behavior change

Initial efforts focused on strengthening override discipline. ChukAI redesigned guidance to introduce override reason codes, margin floors, manager dashboards, and clearer accountability across the organization.

The result was a continuous improvement process: better data produced more accurate guidance, more accurate guidance increased frontline confidence, and stronger governance helped managers reinforce consistent pricing behavior and discipline across the organization.

Why AFS chose ChukAI

An accountable operating partner, not a software vendor

AFS needed more than a software vendor or a traditional consulting team. Its pricing environment was nuanced, its systems complex, and the required changes operationally sensitive – similar to most advanced businesses. These business realities are not supported by off-the-shelf products or strategy-only engagements.

ChukAI brought a differentiated combination of industrial-distribution expertise, private-equity value-creation experience, and AI-native delivery. The team understood the realities of distributor pricing, complex ERP environments, frontline sales behavior, and the operating discipline required to translate analysis into measurable P&L improvement.

That domain expertise enabled ChukAI to work as an extension of the AFS team. Through weekly working sessions, direct access to leadership, and ongoing reporting to the company's private equity sponsor, ChukAI helped move initiatives from diagnosis through implementation and adoption.

The AFS partnership demonstrates a new model for value creation in industrial distribution: AI-native services that combine bespoke technology, domain expertise, and direct outcome accountability. ChukAI is defining this category by helping complex distributor platforms translate fragmented data and operational nuance into measurable P&L improvement.

What would this find in your platform?

Tell us what your environment looks like – systems, entities, and where you suspect margin is going – and we will tell you where we would start.