MultiSensor AI Survey: 91% of Ecommerce Distribution and Logistics Professionals Approved Automation Their Teams Were Not Ready to Maintain

Survey data from MultiSensor AI highlights large automation spending but limited maintenance readiness, rising unplanned downtime and major financial exposure.

Rhea-AI Summary

MultiSensor AI (MSAI) released its “Uptime Economy: 2026” report based on a survey of 152 ecommerce distribution and logistics reliability and operations leaders.

The research found that 91% of respondents approved or implemented new automation knowing their teams were not fully prepared to maintain it, and 49% said this occurred more than once. Only 10% of practitioners continuously monitor all critical assets in real time, while 66% rely on periodic, calendar-based checks, even though 98% have at least one single point-of-failure asset. In the past 12 months, 80% reported six or more unplanned downtime events, and 36% said downtime has increased versus three years ago. Over the past three years, 55% of facilities invested $5–$25 million in automation and 35% invested $25–$100 million, yet 64% of VPs say uptime is not tracked at the executive or board level, and 95% believe a major downtime event could match or exceed annual automation investment.

Market Context

-3.58% was MSAI's pre-headline 24-hour price change, while the report extended the Aug. 5 readiness ...

Analysis

-3.58% was MSAI's pre-headline 24-hour price change, while the report extended the Aug. 5 readiness framework with survey evidence on maintenance gaps; no post-publication reaction was provided.

Key Figures

Survey respondents: 152 practitioners and operations leaders Unprepared automation investments: 91% Repeated readiness gap: 49% +5 more

Survey respondents

152 practitioners and operations leaders

2026 Uptime Economy report

Unprepared automation investments

91%

Respondents approved, implemented or integrated automation despite readiness gaps

Repeated readiness gap

49%

Respondents said the unprepared investment situation happened more than once

Continuous asset monitoring

10%

Practitioners continuously monitor all critical assets in real time, 24/7

Dismissed sensor alerts

82%

Practitioners dismissed an alert that later indicated a real asset failure

Missed warning signs

83%

Practitioners experienced failures with warning signs missed or deprioritized

Unplanned downtime events

80%

Respondents reported six or more events affecting operations in the past 12 months

Downtime financial impact

95%

VP-level respondents said major downtime could match or exceed annual automation investment

Previous AI Reports

1 past event · Latest: Aug 05

Same Type 1 event

1. Aug 05

   Readiness framework

   24h Move

   -3.1%

   Released a framework for measuring detection gaps and continuous monitoring readiness.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

condition-based monitoring, single point of failure, unplanned downtime

3 terms

condition-based monitoring technical

"a pioneer in early threat detection and condition-based monitoring"

Condition-based monitoring is the practice of continually checking the health or performance of equipment, systems, or assets and taking action only when measurements show a problem—like a car dashboard light prompting a repair. For investors, it matters because it can lower unexpected breakdowns, reduce repair and replacement costs, and keep operations running smoothly, which improves profitability and lowers business risk over time.

single point of failure technical

"one asset that represents a true single point of failure"

A single point of failure is one component, person, process, or system whose malfunction or loss would stop an entire business operation or critical function. For investors, it matters because reliance on a single fragile element can create concentrated operational, financial, or reputational risk—like a single fuse that, if it blows, darkens the whole building—potentially affecting revenue, costs, or the value of a company’s shares.

unplanned downtime technical

"facility experienced six or more unplanned downtime events"

Unplanned downtime is the unexpected period when a company’s systems, machinery, production line, website, or critical service stops working and operations cannot continue. It matters to investors because it can reduce revenue, increase costs, damage customer relationships and signal vulnerabilities in maintenance, IT or supply chains—like a sudden blackout at a factory that halts output and forces recovery expenses and lost sales.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Nearly half say it has happened more than once, and only 10% of practitioners continuously monitor the assets that could halt operations

Houston, Texas--(Newsfile Corp. - September 16, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today released The Uptime Economy: 2026 Report, which is based on a survey of 152 reliability and maintenance practitioners and VP-level operations leaders in ecommerce distribution and logistics conducted by Censuswide. The research found that 91% of all respondents have approved, implemented or integrated a new automation investment knowing their team or facility wasn't fully prepared or equipped to maintain it. Nearly half (49%) say this has happened more than once.

As e-commerce distribution and logistics facilities continue to invest heavily in automation, the survey data shows a maintenance readiness gap is emerging. Most (99%) reliability and maintenance practitioners say they are confident their facility can catch early degradation of assets before it leads to failure that causes disruption, with 62% saying they are very confident. Yet, 82% of practitioners say their team has dismissed a sensor alert that turned out to be a real asset failure. Eighty-three percent of practitioners have experienced a failure that, in hindsight, showed warning signs they missed or deprioritized. Nearly a third (31%) say this has happened more than once.

"The automation business case almost never includes the plan to keep it running," said Asim Akram, Chief Executive Officer of MultiSensor AI. "Ninety-one percent of the leaders we surveyed knew their team was not ready and moved forward anyway. That is not a technology gap. It is a planning gap, and it shows up two years later as unplanned downtime."

The monitoring behind maintenance overconfidence is thinner than it suggests. Only 10% of practitioners continuously monitor all of their critical assets in real time, 24/7, while two-thirds (66%) monitor periodically, on a scheduled or calendar-based interval. Nearly all respondents (98%) have at least one asset that represents a true single point of failure capable of halting operations.

"A missed warning sign is rarely a case of someone ignoring a problem," said Luke Grice Lowe, Director of Global Reliability and Maintenance Programs at MultiSensor AI. "It is a case of no one being there when the signal appeared. Degradation does not wait for the next scheduled inspection, so when a team is checking on a calendar interval, the misses are built into the schedule rather than into the people."

The cost of limited visibility runs in both directions. Eighty-six percent of practitioners have taken a critical asset out of service for replacement or major repair, only to determine later that it had significantly more usable life remaining. Twenty-seven percent say it has happened more than once.

Additional findings from the survey included:

Unplanned downtime is rising.

• Eighty percent of respondents say their facility experienced six or more unplanned downtime events affecting fulfillment, sortation or distribution operations in the past 12 months.
• Unplanned downtime events have increased compared with three years ago, according to 36% of respondents.

Downtime costs could wipe out automation investments.

• Ninety-five percent of VP-level respondents say the potential financial impact of a major downtime event would match (55%) or exceed (40%) their annual automation investment at a facility.
• Most facilities (55%) invested $5 to $25 million in automation technology over the past three years, while more than a third (35%) invested $25 million to $100 million during the same period.
• Nearly two-thirds (64%) of VPs say their facility does not track uptime at the executive or board level.

Reliability workforces are under pressure.

• Thirty-five percent of all respondents say a lean workforce and not enough skilled technicians is a top barrier to improving uptime.

Get the full Uptime Economy: 2026 Report here.

About MultiSensor AI

MultiSensor AI is a multi-sensor condition intelligence solution for high-throughput and highly automated industrial operations. By unifying thermal, vibration and visual sensor data in a single solution, MultiSensor AI enables reliability teams to proactively protect uptime, reduce maintenance costs, enhance safety, and extend the useful life of their most critical assets. For more information, visit www.multisensorai.com.

Forward-Looking Statements

This press release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934, and the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. In some cases, forward-looking statements can be identified by words such as "anticipate," "believe," "could," "estimate," "expect," "intend," "plan," "will," "would" or their negatives or variations of these words, or similar expressions. All statements contained in this press release that do not strictly relate to matters of historical fact should be considered forward-looking statements, including, without limitation, statements regarding management's expectations regarding its strategic priorities and objectives, future plans and business prospects. These forward-looking statements are subject to risks, uncertainties and assumptions, some of which are beyond our control. In addition, these forward-looking statements reflect our current views with respect to future events and are not a guarantee of future performance. Actual outcomes may differ materially from the information contained in the forward-looking statements as a result of a number of factors, including those identified in the "Risk Factors" section of the Company's Annual Report on Form 10-K for the year ended December 31, 2025, as such factors may be updated from time to time in the Company's other filings with the SEC. Because forward-looking statements are inherently subject to risks and uncertainties, you should not rely on these forward-looking statements as predictions of future events. Any forward-looking statement made in this press release is based only on information currently available and speaks only as of the date on which it is made. Except as required by applicable law, the Company expressly disclaims any obligations to publicly update any forward-looking statements, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

Media Contact
Alecia O'Brien
VP of Marketing, MultiSensor AI
marketingteam@multisensorai.com

Investor Relations Contact:
ir@multisensorai.com
Source: MultiSensor AI Holdings, Inc.

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/314488

FAQ

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How can readers access the full MultiSensor AI Uptime Economy: 2026 report?

The company states that readers can get the full Uptime Economy: 2026 Report via the link or access point referenced as “Get the full Uptime Economy: 2026 Report here.”