Independent Research · 2026

AI is rewriting Manufacturing Sales and Commercial Ops.

Are you running it, or running to catch up?

New research from 200+ sales and commercial operations leaders across manufacturing - where AI is delivering, where it's hitting a ceiling, and what separates the teams pulling ahead.

Free Research Report

Manufacturing: AI Adoption & Operational Readiness 2026

In their
own numbers

3 in 4

practitioners

using generic AI for comp work

1 in 2

experts

stuck at moderate gains (10–20%)

4 in 5

leaders

take 1–4 weeks to adapt comp strategy

The Problem

Your factory floor runs on automation.
While SalesOps runs on spreadsheets.

Ask your top sales rep what they earned last month, the answer is still: "Call Finance." That gap is not incidental.

40%

would revert

4 in 10 manufacturing SalesOps teams would revert to pre-AI workflows if needed.

That is not confident adoption. It is a signal that AI has not yet earned an irreplaceable role in how SalesOps teams run. The problem is not awareness. It is fit.

76%

still use Copilot

Generic AI is hitting a domain-specific ceiling

Copilot and ChatGPT were not built for quota credit across indirect channels, milestone payouts, or distributor splits. Most teams are forcing generic tools onto a specialized problem.

52%

reported moderate gains

Moderate gains have become the accepted benchmark

98% of teams report productivity gains from AI. But most are adapting generic tools to specialized problems and treating moderate performance as the ceiling, not the starting point.

62%

still rely on email

Manual workarounds persist, even in AI-native stacks

Email approvals, spreadsheet calculations, single-admin dependencies. These do not drop even in teams that have fully adopted AI. That is not a behavior problem. It is structural.

42%

somewhat agree

AI investment is real. The conviction is not.

Nearly half of teams only somewhat agree their AI investment is worth it. That is the language of real but thinner-than-expected ROI, of teams still waiting to be convinced.

Only 38% are extremely satisfied with AI from their existing vendors.

The 50% who are 'somewhat satisfied' represent the most commercially significant group in this data: teams that have settled for good enough, and have not seen what a real step-change looks like.

Manufacturing: AI Adoption & Operational Readiness 2026, Independent Research

n = 200 senior SalesOps and commercial operations leaders

The Shift

The market moves in days.

Your comp stack responds in weeks.

Tariff changes. Raw material spikes. Territory acquisitions. Mid-quarter plan revisions. The events requiring comp plans to adapt quickly are becoming more frequent, not less.

78%

take 1–4 weeks

Almost 4 in 5 manufacturing SalesOps teams cannot adapt comp strategy within a week of a market shift.

The gap isn't headcount. It isn't effort. It's structural: how plans are built, where logic lives, and whether changes require rework or simply reconfiguration.

Quarter-end

The comp process breaks exactly when you cannot afford it to

Mid-quarter, these are inconveniences. At close, they become liabilities that hit rep trust and payout timing directly.

Retention risk

Pay disputes are a field retention signal, not a Finance problem

A single commission error on a high-value deal does not create a support ticket, it creates a conversation between your best rep and a competitor's recruiter.

Strategic ambition

SalesOps wants the strategic seat. Current tools will not get them there.

60% of peers believe AI will elevate SalesOps to strategic leadership. The tools in use today cannot deliver the territory maps, comp analyses, and pipeline forecasts the C-suite can act on.

Rated #1 sales commission software.  Loved by customers worldwide.

Mozarc Medical logo with stylized text.Logo showing a mechanic in green uniform shooting a wrench, large red text 'JASPER', and 'ENGINES & TRANSMISSIONS' below in black.CandidPro brand logo in red text.

Customer Story · Hood Container

What replacing 5,000 VLOOKUPs with an AI-native ICM actually looks like

Hood Container, a Top-10 US packaging manufacturer, ran commission cycles across plants on one sprawling Excel file — up to 10 hours per rep, 5,000+ VLOOKUPs per run. After Everstage, the same process takes 10 minutes.

99.8%

time saved on commission calculations

4X

overpayments or underpayments

100%

rep engagement

"Everstage has exponentially saved us time, hundreds of hours a month. Now I run one batch upload and calculate everyone's commissions in just 10 minutes."

Man with beard, glasses, and short hair wearing a navy blue Under Armour polo shirt.

James Allison

Business Analyst

Get your hands on research built for your industry.

Industry-specific data, failure modes, and recommendations, that can help you lead the shift to AI-native comp, not scramble to catch up.

Industrial Machinery: AI Adoption & Operational Readiness 2026

CNC machines alert in real-time. Sales comp still runs on spreadsheets. Data from 50 SalesOps leaders on the five failure modes unique to industrial manufacturing comp.

Medical Equipment: AI Adoption & Operational Readiness 2026

The clinical event is documented before the rep's commission is. Deep dive into PO vs. implant timing, utilization splits, and consignment comp complexity.

Chemical Manufacturing: AI Adoption & Operational Readiness 2026

Volume-based tiering, regulatory compliance triggers, and distributor channel complexity. How SalesOps leaders in chemical manufacturing are automating comp.

Electrical & Electronics: AI Adoption & Operational Readiness 2026

Component pricing volatility, channel partner comp, and tariff-driven territory economics. How SalesOps leaders in E&E are gaining comp clarity.

Forge the future of commission management.

The manufacturers pulling ahead aren't waiting for the perfect moment. They're replacing spreadsheet debt with AI-native intelligence.

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