Buyer's guide
The best OEE software depends on how you capture the data. Evocon, MachineMetrics, Vorne XL, Shoplogix and Amper read run and stop signals from the machine. Tulip and L2L connect machines or take operator input. LeanSuite tracks OEE as a managed KPI, with loss reasons, Pareto charts and actions.
In more detail: Overall equipment effectiveness software comes in two kinds. Machine-connected tools (Evocon, MachineMetrics, Vorne XL, Shoplogix and Amper) read run and stop signals from a sensor, a PLC or an IIoT device, time every stop automatically and ask the operator for the reason; they are the choice when minutes of unplanned downtime are the problem and you want them counted without anyone typing. Platform tools (Tulip and L2L) connect machines too but treat OEE as one app or module among many. LeanSuite is different: it does not read machines. It tracks OEE, downtime and output as KPIs whose values are typed, uploaded or read on a schedule from Excel or Google Sheets, with reason codes, a Pareto of losses, red limits that start an action with an owner, and the tier meeting where the action is reviewed. It suits plants whose OEE already comes out of an MES, an ERP or a shift log and who need the management system around the number, not a second data collection layer.
Who wrote this: LeanSuite publishes this guide, and LeanSuite is one of the eight products on it. It is listed first because it is our product; the others follow in alphabetical order, which is not a ranking. Every other product is described only from its own public pages, and each entry says where that product fits better than ours.
Last reviewed October 2026. Based on each vendor's public information; tell us if something has changed at info@theleansuite.com.
LeanSuite's whole platform next to each product, capability by capability. A question mark means the vendor does not publish it or we could not verify it, not that the product lacks it; the detailed table below has the specifics.
Swipe sideways to see every product.
| Capability | LeanSuite | Amper | Evocon | L2L | MachineMetrics | Shoplogix | Tulip | Vorne XL |
|---|---|---|---|---|---|---|---|---|
| Data and platform | ||||||||
| KPI dashboards | Yes:KPI Dashboards | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| One issue linked from tag to RCA, work order, kaizen and best practice, entered once | Yes: Enter it once; paperwork stays linked | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| SSO and a security certification | Yes:SOC 2 Type 1; Entra ID, Okta | Not published | Yes: ISO 27001; Professional up | Partial: SOC 2-based program | Yes: ISO 27001; OIDC SSO | Partial: Enterprise SSO; certification not stated | Yes: Varies by plan; check the vendor | Not published |
| Operator sign-in with an employee ID, no email | Yes:Employee ID | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Free plan or published prices | Yes:Free plan for ideas | No: Quote only | Yes: Per machine | Not published | Not published: Volume-based per machine, no figures | Not published | Yes: Per interface | Yes: One-time price |
| Mobile app (iOS and Android) | Yes:iOS and Android | Not published | Not published | Yes | Not published | Not published | Not published | Yes: XL Sidekick |
| OEE and downtime dashboards | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| OEE captured from machine signals | Partial:Via ERP or MES, not machine signals | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Continuous improvement | ||||||||
| Any method: DMAIC, PDCA, A3, 8D or your own | Yes: Incl. your own | Not published | Not published | Partial: Root cause analysis | Not published | Not published | Not published | Not published |
| Engineering and CapEx projects with stage-gates | Yes:Four stage-gates | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Non-manufacturing teams and projects | Yes: Any project type | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Ideas and suggestions with configurable approvals | Yes:Approvals per idea type | Not published | Not published | Partial: Suggestions | Not published | Not published | Not published | Not published |
| Savings verified before they count | Yes:Finance signs off | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Share what worked across sites (yokoten) | Yes:Best Practice Management | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Your own workflow per record, with stage rules: who moves it, what must be valid, what updates, who is told | Yes: RCA, kaizen, work orders, tags, best practices | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| AI | ||||||||
| AI root cause analysis | Yes:RCA Agent | Not published | Not published | Yes: Root Cause Intelligence | Not published | Not published | Not published | Not published |
| AI time and motion study from video | Partial:Vision AI, priced separately | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Video to SOP | Yes:SOP from one video | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| AI one-point lessons (OPLs) | Yes:OPL from before-and-after photos | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| AI drafts checklists and forms | Yes:Lean Creator AI drafts | Not published | Not published | Not published | Not published | Not published | Yes: AI Composer | Not published |
| AI sorts and triages ideas | Yes:Lean AI | Not published | Not published | Not published | Not published | Not published | Not published | Not published |
| Frontline operations | ||||||||
| Daily issue management with tier escalation | Yes:F-Tags, escalation | Partial: Andon | Not published | Yes: Real-time dispatch | Partial: Alerts sent on by webhook | Not published | Partial: Digital andon app; escalates when overdue | Not published |
| Tiered meetings and huddle boards | Yes:Lean Studio | Partial: Hour-by-hour boards | Not published | Partial: Production boards | Partial: Daily meeting dashboard | Not published | Partial: Tier board app suite | Not published |
| Audits and checklists (5S, LPA, CILR), scheduled | Yes:Daily Standard Work scheduling | Partial: Changeover checklists | Not published | Yes | Not published | Not published | Partial: Inspection apps | Not published |
| Breakdown reporting and maintenance work orders | Yes:EWO; works alongside a CMMS | Partial: Maintenance tracking | Not published | Yes | Partial: Maintenance requests and CMMS-generated work orders | Not published | Not published | Not published |
| Skills and training | ||||||||
| Live skills matrix | Yes:Competency Management | Not published | Not published | Yes | Not published | Not published | Not published | Not published |
| Job cover matrix: who can cover each job | Yes:Job Cover Matrix | Not published | Not published | Partial: By machine or process | Not published | Not published | Not published | Not published |
| Training (LMS): courses, quizzes, learning plans | Yes:Trainings (LMS) | Not published | Not published | Partial: Training content | Not published | Not published | Not published | Not published |
| SOP and OPL sign-off per person | Yes:Signed on a tablet | Not published | Not published | Partial: Instruction sign-off | Not published | Not published | Not published | Not published |
Based on each vendor's public website, reviewed October 2026; tell us if something has changed at info@theleansuite.com.
OEE multiplies availability, performance and quality into one number for a machine, a line or a plant. Software for it collects the run time, the stops and their reasons, the count and the rejects, works out the three factors and shows where the losses are. Each product on this list meets all of these:
The vendor's own pages describe OEE tracking, dashboards or reports, not only a blog post about the formula.
Manufacturers are a main market for the product, and the OEE features are shown on production equipment.
The vendor has a real company behind it and is at least our size; smaller vendors are left off this guide.
A live product page with a way to buy, trial or book a demo.
Enough on the vendor's own pages to say how machine data gets in and how reasons are captured. Where pricing or security is not published, the table says so.
Worked example
An illustrative line, not a customer: an 8-hour shift with a 30-minute planned break, a rated speed of 60 bottles a minute, 21,000 bottles produced and 630 rejected. Every tool on this page would work out the same three factors; they differ in how the stop minutes and reasons get in.
1. Availability
Planned production time is 450 minutes. Stops: a 35-minute changeover, a 25-minute label jam and three short stops of 5 minutes, 75 minutes in all. Run time is 375 minutes, so availability is 375 / 450 = 83.3%. A machine-connected tool times these stops itself; in LeanSuite the shift log supplies them.
2. Performance
At 60 bottles a minute the line could have made 22,500 in 375 minutes. It made 21,000, so performance is 21,000 / 22,500 = 93.3%. The missing 1,500 bottles are slow running and micro-stops too short to log.
3. Quality
630 of 21,000 were rejected, so 20,370 good bottles and quality of 97.0%.
4. OEE and the Pareto
OEE is 0.833 x 0.933 x 0.970 = 75.4%. The reason codes show the changeover (35 minutes) and the label jam (25 minutes) are 80% of the lost availability, so the first action is a SMED event on the changeover, with an owner and a due date, reviewed at the Tier 2 meeting.
Result: OEE of 75.4% on this shift, with two reasons behind most of the loss. The number alone changes nothing; the action with an owner does. Choose a machine-connected tool when the hard part is counting the minutes, and a managed-KPI tool when the hard part is what happens after the number turns red.
Lean manufacturing software that treats OEE as a managed KPI rather than a machine feed. Availability, performance, quality and OEE are KPIs with a definition, a target and an owner; values are typed in at the huddle, uploaded as a CSV with one-time column mapping, or read on a schedule from Excel on SharePoint or OneDrive or from Google Sheets, and an ERP or MES source is confirmed on a call. LeanSuite does not connect to machines, sensors or PLCs. Each result carries the reason codes behind it, ranked in a Pareto chart; a KPI is flagged the moment new data crosses its limit and the team starts an action plan from it, with an owner and a due date, that is reviewed at the tier meeting and can escalate to a kaizen, an A3 or a root cause analysis. Line KPIs roll up to the plant and the company by sum or average. Six big losses worksheets, downtime reason code templates and a free OEE calculator sit alongside. One flat price per facility with unlimited users; a 90-day pilot costs $3,000 per facility.
Best for: Plants whose OEE already comes out of an MES, an ERP or a shift log and who need the loss reasons, actions and tier meetings around the number.
A production monitoring and intelligence platform, now part of ECI Software Solutions. Non-invasive electrical sensors clip onto any powered machine with no PLC integration, and PLC integrations are offered too; the sensors detect each stop and count cycles automatically, and the operator logs the downtime reason and calls for support in one click on a touchscreen. It reports uptime, cycle times and OEE with the availability, performance and quality split, shows live scoreboards, sends smart alerts by phone or email, and its AI adds a daily briefing, trend analysis and a continuous improvement assistant that names the biggest bottlenecks from the downtime and OEE data. Pricing is tailored and not published; the hardware is part of the solution. Security certifications are not stated on the pages we read.
Best for: Job shops and contract manufacturers that want plug-in sensors on old and new machines without touching the PLC.
Cloud OEE software from Estonia. A signal from a new or existing sensor, or from a PLC output connected through a relay, goes to Evocon's IIoT device and on to its AWS cloud; a hardware-free option lets machines log to a local database and send data over HTTPS. Operators record stop reasons on a shop-floor display on a PC, tablet or TV. It shows real-time OEE, downtime tracking, machine utilization and a Shift View that compares dates, stations, factories and countries. It publishes pricing per machine per month, billed annually: Basic $219, Professional $289 and Enterprise $379 on a one-year term, less on three years, plus $24 a month for the IIoT device, with unlimited users and a 30-day free trial. Its security page says it was recertified under ISO/IEC 27001:2022; single sign-on starts at Professional. An AI Analyst in beta answers questions on Professional and Enterprise.
Best for: Plants that want a clear per-machine price and sensor-based OEE running in days, with operators entering the reasons.
A connected manufacturing operations platform with modules for shop floor execution, maintenance, production and skills. Its Machine Data Sync connects PLCs, SCADA systems and IIoT devices to automate OEE calculations and downtime tracking, and its platform page says teams can start before machines are connected. Digital production boards and OEE reports run per line and site, alerts and escalations fire when output drifts, and manufacturing intelligence compares performance across plants. Its Execution AI solvers cover root cause intelligence, failure pattern and PM audits and prescriptive repair guidance. Its security page says its compliance programs are based on SOC 2 Type 2 and NIST 800-171, with single-tenant hosting on AWS or AWS GovCloud. It runs in a browser and on Windows, Mac, Android and iOS. Pricing is not published.
Best for: Plants that want OEE tied to maintenance work orders, production boards and skills in one execution platform.
An AI-powered manufacturing operations system, now called MaximaOS, built around direct machine connectivity. An Edge device collects data over protocols such as FANUC FOCAS and OPC-UA, and older machines are wired through digital I/O with photo eyes or proximity sensors in a few hours each. Availability, performance and quality are derived from machine data against real schedules and traced to the shift, job and event; a touchscreen at the machine asks the operator to categorize downtime as it happens, and a rules engine categorizes some events automatically. It shows real-time downtime Pareto charts, sends text and email alerts, compares OEE by shift, machine and job, and its Max AI answers plain-language questions, guides setup at the machine and writes shift summaries. Plans run from a Core Platform to Enterprise for several sites. Pricing is a volume-based subscription per machine with unlimited users; no figures are published. Its site says it is ISO 27001 certified, with OIDC single sign-on documented.
Best for: CNC and discrete job shops that want machine-level data with job and schedule context, and MES and ERP links.
A smart factory platform from Oakville, Ontario. It says it connects any machine regardless of age or protocol with no extra hardware, and also sells self-powered batteryless sensors that bolt or clip on. Dashboards show OEE, expected against actual targets, cycle speeds, scrap and unplanned downtime, with real-time summaries by shift, machine and job; operators enter downtime and scrap reasons in real time on a screen the vendor says takes under five minutes to learn. Alerts go to operators and supervisors, plants can be connected and compared across regions, and add-ons cover maintenance, quality and team communication. Pulse AI answers questions about OEE, downtime, quality, shifts and jobs with cited numbers and does not train on your data. Plans are Production Pulse, Smart Factory and Enterprise; prices are not published. Security certifications are not stated on the pages we read.
Best for: Multi-plant manufacturers that want OEE with maintenance and quality add-ons on one platform and plant-to-plant comparison.
A no-code frontline operations platform where OEE is one app among the ones your engineers build. Machine run and stop states come in natively over OPC UA and MQTT, through edge hardware for older equipment, or from guided operator screens on fully manual lines; the operator picks the downtime reason from a configured list, and the screen can appear on its own when a fault occurs. It tracks availability, performance and quality by line and shift, rolls reasons up into Pareto charts and fires andon-style alert automations. Tulip AI answers plain-language questions on the OEE and downtime tables and adds vision, OCR and translation elsewhere. It publishes pricing per interface (device), billed annually with a 10-interface minimum: Essentials $100 and Professional $250 a month, with Machine Monitoring as an unpriced add-on. Its trust center lists a SOC 2 report and ISO 9001:2015, with single sign-on, SAML and LDAP from Professional.
Best for: Teams with engineers who want to build their own OEE and operator apps and connect machines over OPC UA or MQTT.
An edge appliance from Vorne in Itasca, Illinois, sold as an all-in-one IIoT platform for productivity. The XL unit mounts at the line, connects to one or two sensors or to an existing photo-eye, relay, PLC or proximity switch, and holds its own database and browser reporting with more than 100 metrics, a built-in OEE dashboard, an OEE deep dive and a TEEP report, with data stored behind your firewall. Operators scan down and reject reason barcodes, and a relay output reminds them when a reason is missing; an HDMI output drives a scoreboard on any TV and the free XL Sidekick app adds a second screen. It publishes single-unit prices with no recurring cost: XL Touch $4,990, XL HD+ $4,690 and XL810-1 $4,490, with barcode kits from $298, volume discounts and a free 90-day trial for qualified applications. No security certifications or AI features are named on the pages we read.
Best for: Single lines or plants that want an owned appliance with a one-time price, a floor scoreboard and no subscription.
From each vendor's public pages, read on 2026-10-23. "Not published" means we could not find it publicly, not that the product lacks it.
Swipe the table sideways to see every column.
| Capability | LeanSuite | Amper | Evocon | L2L | MachineMetrics | Shoplogix | Tulip | Vorne XL |
|---|---|---|---|---|---|---|---|---|
| OEE and losses | ||||||||
| Main focus | Lean management: OEE as a managed KPI with actions and tier meetings | Production monitoring with plug-in sensors | Cloud OEE software with an IIoT device | Connected manufacturing operations platform | Machine-connected operations system (MaximaOS) | Smart factory platform | No-code frontline apps; OEE is one app | Edge appliance with built-in OEE reporting |
| How machine data gets in | No machine connection. Values typed at the huddle, uploaded as a CSV, or read on a schedule from Excel on SharePoint or OneDrive or from Google Sheets; an ERP or MES feed is confirmed on a call | Non-invasive electrical sensors; PLC integrations | Sensor or PLC output via relay to its IIoT device; HTTPS API option | PLCs, SCADA and IIoT devices through Machine Data Sync | Edge device: FANUC FOCAS, OPC-UA; digital I/O for older machines | Any machine regardless of protocol; batteryless sensors | OPC UA and MQTT native; edge hardware; manual lines by operator screens | One or two sensors, or a photo-eye, relay, PLC or proximity switch |
| Downtime reasons | Reason codes recorded against each result; ranked in a Pareto chart | Sensor detects the stop; operator logs the reason on a touchscreen | Operators record stop reasons on a shop-floor display | Automated downtime tracking from machine data | Operator categorizes on a touchscreen; rules engine categorizes some automatically | Operators enter downtime and scrap reasons in real time | Stop detected automatically; operator picks the reason from a list | Operators scan reason barcodes; relay reminder |
| OEE maths and reports | Availability, performance, quality and OEE as KPIs with limits; roll-up by sum or average | Availability, performance, quality; live scoreboards | Real-time OEE, downtime tracking, machine utilization, Shift View | OEE reports per line and site; digital production boards | Three factors from machine data against schedules; Pareto by shift, machine, job | OEE, target vs actual, cycle speeds, scrap | Three factors by line and shift; Pareto roll-ups | Built-in OEE dashboard, OEE deep dive, TEEP, 100+ metrics |
| When a number goes red | KPI flagged at the limit; action plan with an owner; escalates through the tiers | Smart alerts by phone or email | Not published | Alerts and escalation when output drifts | Text and email alerts | Alerts to operators and supervisors | Andon-style alert automations | Relay output reminds operators; scoreboard |
| Several sites | Department to plant to company roll-up | Not published | Shift View across stations, factories and countries | Cross-plant manufacturing intelligence | Enterprise plan: several sites | Compare plants across regions | Not on the OEE page we read | Not published |
| AI | Lean AI root cause analysis on the issue behind the loss | Daily briefing, trend analysis, CI assistant | AI Analyst (beta) on Professional and up | Execution AI solvers: root cause, failure patterns, PM audit | Max AI: questions, setup guidance, shift summaries | Pulse AI assistant | Tulip AI: plain-language questions on OEE and downtime | Not published |
| Buying | ||||||||
| Pricing | Per facility, quote; $499 per month for smaller teams; Suggestions module free for teams up to 25; 90-day pilot $3,000 | Not published; tailored quote | Published: $219 to $379 per machine a month on a 1-year term; device $24 | Not published; demo | Not published; volume-based per machine | Not published; request a demo | Published: $100 or $250 a month per interface; Machine Monitoring add-on unpriced | Published: $4,490 to $4,990 per unit, one-time |
| Security | SOC 2 Type 1 report; secure cloud hosting | Not published | ISO/IEC 27001:2022; SSO from Professional | Programs based on SOC 2 Type 2 and NIST 800-171 | ISO 27001; OIDC SSO | Not published | SOC 2 report; ISO 9001; SSO from Professional | Not published; data stays behind your firewall |
| Apps | Web, iOS and Android | Touchscreen at the machine; web | Browser, no install | Browser, Windows, Mac, Android, iOS | Web; tablets at machines | Web dashboards, unlimited users | Tulip Player on Windows, Mac, iOS, Android | Browser; HDMI scoreboard; XL Sidekick app |
This part is about our own product, so read it as LeanSuite's pitch; the entries above describe every other tool from its own pages. Each point links to the LeanSuite page that shows it.
Set Red-Amber-Green ranges and whether up or down is good. A KPI is flagged as soon as new data crosses a limit, the team starts an action plan from it, and the same KPI shows on the huddle board.
KPI targets and alertsDepartment KPIs roll up to the plant and the company automatically, by sum or average. The reasons behind each result are recorded and ranked in a Pareto chart, and each role gets its own dashboard.
KPI trees and roll-upKPIs are typed in during the huddle or pulled from LeanSuite forms, ERP, MES, Excel, Google Sheets or a CSV upload, and Power BI or Looker Studio reports can be embedded on the same board.
KPI DashboardsWhen the same issue keeps coming back, escalate it into a Kaizen or A3 project and work on the root cause. Reports show which areas and assets keep generating issues, and the live floor plan shows where they cluster.
From issue to KaizenThe honest limits of our own product for this category, so you can rule it out quickly if one of these matters to you.
Try LeanSuite in your browser with sample data, or book a demo and bring last month's OEE and downtime log. If you are not ready for software, start with the free OEE calculator, the six big losses worksheet and the downtime reason codes template.
“Great user-friendly software! It's covering everything that WCM or similar Lean Programs are asking to do, in a very effective way.”
Elena M.Global Head of Marelli Manufacturing System Automotive, Marelli“The Project Tracking System generates significant savings while ensuring seamless delivery... The Global Kaizen Power Pitch completely transformed our ability to share best practices.”
Ramsey AljahmiSr. Director of NAR Operations Excellence, Whirlpool CorporationNext step, if you want one
For OEE, the demo takes last month's downtime log into a KPI with reason codes and follows the red number to an action. LeanSuite does not connect to machines.
Bring one process you want to fix, and how you run it today. We show the same job in LeanSuite and answer your questions.
Want to run LeanSuite on your own lines instead? The 90-day pilot is $3,000 per facility, set up by our team, with the first module live in under a week.
FAQ
Software that works out overall equipment effectiveness, the product of availability, performance and quality, for a machine, line or plant, and shows where the losses are. Machine-connected tools read run and stop signals from a sensor, PLC or IIoT device and ask the operator for the stop reason. Managed-KPI tools take the numbers from an MES, an ERP, a shift log or a spreadsheet and add reason codes, Pareto charts, limits and actions.
It depends on how the data should get in. For sensor-based OEE with a published per-machine price, look at Evocon; for CNC and discrete machines with job context, MachineMetrics; for a one-time appliance, Vorne XL; for plug-in sensors with no PLC work, Amper; for many plants with maintenance and quality add-ons, Shoplogix; for OEE inside an execution platform, L2L; to build your own OEE app, Tulip. If your OEE already comes out of an MES, an ERP or a shift log and you need the actions and meetings around it, look at LeanSuite. LeanSuite is our product.
No, but it changes what the tool is good at. A machine connection counts every stop and its length without anyone typing, which matters when the problem is minutes of unplanned downtime nobody records. Where OEE is already calculated by an MES or logged each shift, a managed-KPI tool can take those values and focus on the reasons, the Pareto and the action that follows a red number.
No. LeanSuite does not read machine signals and does not detect line stops. Its OEE, downtime and output KPIs take values typed in at the huddle, uploaded as a CSV, or read on a schedule from Excel on SharePoint or OneDrive or from Google Sheets; an ERP or MES feed is confirmed on a call. What LeanSuite adds is the management around the number: reason codes, a Pareto of losses, a limit that starts an action with an owner, and the tier meeting where it is reviewed.
Evocon publishes $219, $289 and $379 per machine a month on a one-year term, billed annually, plus $24 a month for its IIoT device. Vorne XL publishes one-time unit prices from $4,490 to $4,990. Tulip publishes $100 and $250 a month per interface with a 10-interface minimum, and prices Machine Monitoring separately. Amper, L2L, MachineMetrics and Shoplogix quote each customer. LeanSuite quotes per facility with unlimited users, with a 90-day pilot at $3,000 per facility.
OEE = availability x performance x quality. Availability is run time divided by planned production time. Performance is actual output divided by what the rated speed would have made in the run time. Quality is good units divided by total units. A line that runs 375 of 450 planned minutes (83.3%), makes 21,000 of a possible 22,500 (93.3%) and passes 97.0% of them has an OEE of 75.4%. The free OEE calculator on this site does the sum.
Because it is our page and we would rather say so than hide it in the middle. Read it with that in mind. The other products follow in alphabetical order, each is described only from its own public pages, each entry says who it fits best, and we will correct anything a vendor or reader shows us is wrong.
We read each vendor's own public pages in October 2026 and used only what they publish. Where we could not find something, the table says not published, which does not mean the product lacks it. LeanSuite is our product. If something has changed, email info@theleansuite.com and we will update the page.
Last reviewed October 2026. Based on each vendor's public information; tell us if something has changed at info@theleansuite.com.
A 45-minute demo: bring the process you want to fix, and we will show how LeanSuite handles it and what a 90-day pilot would cover.
