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Manufacturing maintenance.Connected factory operations. illustration Manufacturing maintenance.Connected factory operations. illustration
Manufacturing technicians checking a tablet beside robotic assembly equipment in a modern factory.
Built for Manufacturing

Manufacturing maintenance.Connected factory operations.

Keep production equipment, maintenance teams and spare parts working together. Bring AI, Industrial IoT and RFID into the daily work that keeps your factory moving.

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Based on 200+ reviews on

  • INC 5000 2026
  • Globee Awards 2026 Gold Winner — Technology
  • capterra-shortlist-2026
  • software-advice-frontRunners-2026
  • Capterra Best Value-2025
  • G2 high performance

Trusted By Global Brands Across The World

Your factory. Your daily priorities.

Built around the plant.
Not just a list of features.

01 / MACHINE HEALTH

Spot the warning.
Plan the response.

Bring condition monitoring and maintenance planning closer together.

AI & IIoT predictive maintenance 02 / MATERIAL VISIBILITY

Know the stock.
Keep work moving.

Connect your stores, stock movements and manufacturing locations.

RFID inventory tracking 03 / MANUFACTURING INTELLIGENCE

Understand the pattern.
Improve the next decision.

Use connected information for troubleshooting, forecasting and quality review.

AI for manufacturing decisions
VEDA AI FOR MANUFACTURING

Your factory knows a lot.
Now you can ask it.

Meet VEDA, your AI-powered operations assistant inside DreamzCMMS. Ask about equipment history, find maintenance information, prepare checklists and turn everyday requests into organized work.

Request work by voice or textCapture an issue while you are at the machine.
Find asset-specific knowledgeBring manuals, SOPs and maintenance history into view.
Prepare checklists and summariesReduce the time spent rebuilding routine documents.
Explore DreamzCMMS VEDA
Ask VEDAILLUSTRATIVE CONVERSATION
MAINTENANCE TEAM

Show the service history for Motor M-021 and help me prepare an inspection.

VEDA / EXAMPLE RESPONSE

Start with the connected asset history and approved maintenance documents.

Asset recordWork historyApproved SOP
Inspection preparation

Review previous work, confirm the relevant procedure and draft the checklist for your technician to approve.

Voice or text requests. Connected to your work.
Illustrative example, not a live chat or product screenshot. Answers and actions depend on connected records, enabled features and permissions. Review AI-generated content before use.
CMMS Recognition

Award winning CMMS software

Recognition from software review platforms for value, ease of use, functionality and customer support.

capterra-shortlist-2026 software-advice-frontRunners-2026 Capterra Best Value-2025 Getapp Best Function Feature-2025 Capterra Best ease of use-2025 Softwareadvice Best Customer Support-2025 G2 high performance
01 / Predictive Maintenance

Stay ahead with predictive maintenance driven by AI & IIoT.

Connect machine monitoring, fault detection and maintenance planning. Make the change in equipment condition visible before it gets lost in separate records.

Explore Predictive Maintenance capabilities

See machine condition as it changes.

Monitor equipment through connected Industrial IoT sensors. Bring condition readings and equipment status into the same conversation as maintenance priorities.

  • Monitor vibration, temperature and acoustic data in real time.
  • Review machine health and operating performance.
  • Follow live status updates from connected equipment.
  • Reduce reliance on separate manual readings.
  • Investigate smaller changes before they become larger issues.

Look beyond a single vibration reading.

Use Fast Fourier Transform (FFT) analysis to examine vibration patterns and support fault investigation. Give reliability teams more context for deciding what to inspect.

  • Review frequency patterns from compatible vibration sensors.
  • Investigate signs of imbalance, misalignment and wear.
  • Compare findings with the machine’s maintenance history.
  • Focus troubleshooting on the equipment needing attention.
  • Keep analysis connected to follow-up maintenance.

Make unusual behavior visible to the right team.

Use configured monitoring rules to flag changes in machine behavior. Connect alerts with asset context so the next step is clear.

  • Identify changes in vibration, temperature or acoustics.
  • Notify the team when a configured rule is triggered.
  • Set thresholds around the equipment and operating context.
  • Review alerts alongside recent observations and work.
  • Create an inspection or maintenance response.

Put today’s reading in context.

Review equipment readings over time rather than treating every event in isolation. Use historical patterns to inform inspections and maintenance decisions.

  • Access recorded machine-condition history.
  • Look for recurring equipment issues.
  • Compare current behavior with earlier operating periods.
  • Use available trends to guide reliability reviews.
  • Plan follow-up around the evidence in your records.

Turn equipment insight into planned work.

Bring machine condition, usage and maintenance history into service planning. Coordinate the task, people and parts before the work begins.

  • Plan work from condition and usage information.
  • Align inspections with available production windows.
  • Assign technicians and keep responsibilities visible.
  • Check required parts before scheduled maintenance.
  • Retain the completed work in the equipment history.
Book a Free Consultation Explore IIoT monitoring
Machine Health OverviewLive line condition dashboard
92.4%OEE
18/20Assets online
6Active alerts
12 minDowntime today
0.28 mm/sStable
62.4 °CNormal
0.31 mm/sWatch
48.2 dBNormal
Illustrative monitoring dashboard for real-time equipment condition review.
FFT Fault DetectionFrequency-domain vibration review
0 Hz500 Hz1 kHz2 kHz
Dominant peak1× running speed

Suggests imbalance trend on Line 2 spindle.

Secondary peak2× harmonic

Review alignment during next planned stop.

Recommended actionInspection in 24 hours

Create follow-up work order and capture bearing condition.

Illustrative FFT spectrum used to investigate likely mechanical fault signatures.
Anomaly Detection & AlertsConfigured event review
Critical
Packaging motor | High vibration spikeValue exceeded threshold by 18% during second shift.
2 min ago
Warning
Boiler room fan | Temperature driftReading remained above expected range for 15 minutes.
14 min ago
Info
Utilities pump | Acoustic changeSmall pattern shift recorded. Continue monitoring.
34 min ago
Info
Conveyor 03 | Sensor disconnectedCheck the IIoT node during next area walk.
1 hr ago
Illustrative alerts list linking abnormal conditions to a clear maintenance response.
Historical Trend ReviewCondition pattern and failure forecast
11 daysEstimated lead time
83%Failure probability
4Repeated events
Line 2Asset group
Week 1Week 2Week 3Week 4
Observed vibration trendPredicted failure path
Illustrative trend and forecast view used to plan intervention before failure occurs.
Proactive Maintenance SchedulingPlanned response from condition insight

Planned inspection window

MonTueWedThuFriSatSun78910111213

Scheduled actions

Inspect spindle bearingAssigned to Reliability Team A
08:00
Reserve replacement kitLinked spare parts from Store A-03
09:15
Follow-up vibration checkVerify readings after restart
13:30
Illustrative schedule showing how predictive signals can trigger organized maintenance work.

Connected monitoring requires compatible sensors and data access. FFT analysis and predictive insights depend on the equipment, operating context and available history; not every failure can be predicted.

02 / RFID Inventory Tracking

Automate inventory tracking with advanced RFID solutions.

Bring parts, supplies and recorded stock movements into one view. Keep your stores, maintenance teams and manufacturing sites working with the same inventory information.

Explore RFID Inventory Tracking capabilities

Know where your stock was recorded.

Track inventory levels and recorded movements across manufacturing locations. Give stores and maintenance teams a shared view of parts, supplies and stock locations.

  • Review current inventory levels.
  • Track movements across warehouses and facilities.
  • Reduce time spent reconciling separate stock records.
  • Use up-to-date information for inventory decisions.
  • Identify shortages and excess stock earlier.

Let the scan carry the stock update.

Connect RFID reads to configured inventory transactions. Bring receiving, issues and transfers into the same inventory history instead of recording them in separate files.

  • Capture stock movements at defined read points.
  • Connect item identity with the transaction.
  • Reduce repeated manual data entry.
  • Review adjustments and exceptions.
  • Keep the update linked to the stock record.

Make critical spares a planned purchase.

Set reorder points for parts and supplies. Use low-stock alerts to start replenishment before a shortage interrupts planned work.

  • Set item-specific stock thresholds.
  • Review the parts that need replenishment.
  • Connect stock needs with purchase requests.
  • Keep purchasing and stores informed.
  • Plan around critical maintenance requirements.

Count the stock. Focus on the exceptions.

Use RFID-enabled cycle counts to compare detected items with inventory records. Direct the review toward missing, unexpected or misplaced stock.

  • Count tagged items with compatible readers.
  • Compare physical reads with expected inventory.
  • Review discrepancies before confirming adjustments.
  • Support smaller, regular stock checks.
  • Keep count results and follow-up records together.

See the stock beyond your own stores.

Review inventory across manufacturing sites from a common view. Keep receiving, transfers and stock availability connected across locations.

  • Review stock by plant, warehouse and storage area.
  • Follow recorded inter-site movements.
  • Check another location before purchasing.
  • Coordinate stock transfers between teams.
  • Maintain a shared view of inventory availability.
Book a Free Consultation Explore RFID inventory
Inventory command centerLive tagged stock across lines and storesILLUSTRATIVE VIEW
Store map82 locations online
A-01
A-02
B-07
B-08
C-03
C-04
D-12
D-14
AvailableReviewLow
12,428Tagged items
98.4%Read accuracy
214Movements today
18Exceptions
Tag PRD-1003 detected Control valve | Location A-03 | Qty 64
Matched
Dock Store → Line 209:12
Inspection shelf → QA hold10:04
Critical spare reserved for WO-382110:38
Automated stock updatesEach read point creates the next inventory eventILLUSTRATIVE VIEW
01Reader captureDock antenna reads 18 bearing kits
02Transaction ruleReceipt created for Dock Store
03Inventory syncStock level updated and history posted
08:14Receiving completed
09:02Issue linked to WO-3821
10:16Inter-store transfer confirmed
10:58Adjustment approved
Low stock reorder alertsCritical spares highlighted before a shortage stops workILLUSTRATIVE VIEW
6
Urgent items to reorderTriggered by min/max rules and active work demand
CriticalHydraulic filter kit8 left · reorder point 12Raise PO today
LowDrive belt set14 left · expected usage this week 10Move 6 from Plant East
WatchLubricant pack22 left · supplier lead time 5 daysReview in next cycle
2 purchase requests drafted1 inter-store transfer suggested1 item under review
Faster stock cycle countsCount progress, variance review and handheld confirmationILLUSTRATIVE VIEW
Count progressMorning cycle
100%
78%
52%
7 variances need review2 missing items · 3 overages · 2 location mismatches
Cycle Count
Aisle B-12
48 tags captured96% matched
Exceptions2 items
Confirm review
Multi-site inventory monitoringCompare stock health across every manufacturing siteILLUSTRATIVE VIEW
HQ
North
East
South
West
Plant North4,822 items · 6 low stock alerts+2.3%
Plant East3,946 items · 3 transfer requests+1.8%
Plant South3,660 items · 2 urgent replenishments+0.9%
Plant West4,105 items · 98.1% stock accuracy+2.1%

RFID location and stock updates depend on where tags are read and which transaction rules are configured. Cycle-count speed varies with stock, tag placement and reader coverage.

03 / AI for Manufacturing Decisions

Harness AI to drive smarter manufacturing decisions.

Bring root-cause analysis, inventory forecasting, maintenance support, workforce training and quality workflows into your manufacturing improvement plan.

Explore AI for Manufacturing Decisions capabilities

Investigate the pattern behind repeated issues.

Bring operating observations, maintenance history and recurring events into the same review. Use AI-assisted analysis to help your team investigate possible causes and decide what to check next.

  • Analyze available real-time and historical records.
  • Look for patterns across equipment and workflows.
  • Prepare useful context for troubleshooting.
  • Connect findings with corrective maintenance.
  • Review recurring issues instead of repeating the same response.

Use stock history to prepare for future needs.

Combine historical demand and recorded usage with inventory planning. Help the team review likely requirements alongside current stock and purchasing needs.

  • Analyze past parts usage and demand.
  • Review potential shortages and excess inventory.
  • Support better-informed replenishment decisions.
  • Consider upcoming maintenance requirements.
  • Revisit forecasts as the available data changes.

Bring maintenance knowledge closer to the job.

Help technicians find relevant asset information and maintenance guidance. Use equipment context and connected documentation rather than starting every search from scratch.

  • Find OEM and internal maintenance documents.
  • Ask questions about service history.
  • Prepare step-by-step guidance for review.
  • Connect information with the equipment being serviced.
  • Keep approved procedures central to the work.

Support learning around the work people do.

Use AI-assisted training content to help teams learn relevant processes and procedures. Shape learning around roles, equipment and the knowledge your organization maintains.

  • Prepare role-relevant learning material.
  • Use equipment and process context.
  • Support interactive questions and feedback.
  • Reinforce approved maintenance practices.
  • Review training content with your subject-matter experts.

Bring quality patterns into the operational review.

Use connected quality information and configured AI workflows to support inspection and defect review. Keep observations linked to the process and the action required.

  • Review defect and inspection information.
  • Identify patterns in recorded production issues.
  • Support configured inspection workflows.
  • Connect quality observations with corrective action.
  • Keep quality decisions subject to your approval process.
Book a Free Consultation Explore AI with VEDA
AI root cause analysisInvestigate patterns behind repeated equipment issuesILLUSTRATIVE VIEW
Spindle overheating
Bearing wear
Fan blockage
Lubrication gap
Misalignment
VEDA AI insight

Bearing wear is the most likely cause based on vibration history, lubrication interval and the last three downtime events on the same spindle.

Confidence 87%Recommend inspection within 48 hours
Smart inventory forecastingBlend usage trends with maintenance demand planningILLUSTRATIVE VIEW
Projected usageNext 90 days
Actual demandForecasted demand
Hydraulic pump kitReorder 24 units before 18 MayPriority
Lubricant packShift 40 units from Plant NorthTransfer
Seal setStock acceptable. Watch next demand cycle.Watch
AI-enabled maintenance chatbotContext-aware support for technicians and supervisorsILLUSTRATIVE VIEW
AssetLine 2 spindle drive
DocumentsOEM manual · SOP · prior WO
Last eventRepeated overheating alarm
What should I check first for repeated spindle overheating on Line 2?
Start with the lubrication interval, fan airflow and the last bearing replacement record. The previous 3 incidents show the same failure pattern.
Can you summarize the last inspection findings?
The last inspection reported elevated vibration, partial fan blockage and delayed lubrication by 6 days.
Ask VEDA about the asset, work order or manual…
Interactive workforce trainingRole-based learning driven by live maintenance contextILLUSTRATIVE VIEW
68%Completed
24Assigned technicians
7Modules this month
92%Assessment pass rate
Lockout / Tagout essentialsGuided learning for new techniciansIn progress
Condition-based inspectionInterpret machine readings with confidenceAssigned
Storeroom issue workflowPractice parts issue and return stepsCompleted
Production changeover checksQuick lessons for line supervisorsNew
AI-powered quality controlSee defect patterns and act on the next best stepILLUSTRATIVE VIEW
Defect pattern heatmapSeal defects and surface blemishes trending up
Packaging line · Seal defect rise12 occurrences in the last 7 daysReview heat-seal temperature profile
Moulding cell · Surface blemish trendCompare operator notes and material batch recordsStart corrective review
Inspection recommendationPrioritize stations 04, 05 and 18 for spot checksAction now

Advanced AI workflows are scoped to your connected data and enabled configuration. AI recommendations support, rather than replace, engineering judgment, approved procedures and quality sign-off.

The daily work around production

One connected operation.
From the machine to the stores.

Connect the people and records behind maintenance, inventory, purchasing and plant operations.

Enterprise Asset Management

Give each production asset a clear identity. Keep locations, manuals, warranties and maintenance records together, so the next technician does not have to start from scratch.

Explore asset management

Preventive Maintenance Planning

Set recurring tasks around dates, runtime, meter readings or measured conditions. Prepare the people, instructions and spare parts before the work is due, and keep overdue tasks visible.

Explore preventive maintenance

Work Orders & Mobile Teams

Turn reported problems into assigned work. Give technicians the asset, priority, instructions and service history on a phone or tablet, then capture the result where the work happens.

Explore work order management

Spare Parts & Replenishment

Find the part, check its location and see what is available before assigning the job. Connect parts issued to maintenance with the asset and work order that used them.

Explore spare parts inventory

Purchasing, Sales & Logistics

Move supply requests through quotation comparison, approval and ordering. Keep customer orders and invoice status visible alongside the commercial records that support your logistics team.

Explore inventory & purchasing

Plant Facilities & Utilities

Bring HVAC, utility equipment, facility inspections and incident reporting into the same operational view. Review connected energy readings by area and period to identify changes worth investigating.

Explore facility management
Manufacturing Reporting & Analytics

Understand the stops.
Improve the next decision.

Review downtime, repair history, maintenance completion and cost by asset or site. Use dashboards and Power BI views to bring recurring failures and work priorities into the daily operations discussion.

Recorded downtime and failure trends
MTTR and MTBF reporting
PM completion and maintenance backlog
Parts, labor and asset-cost analysis
View all capabilities
Power BI dashboards and filtered views
Scheduled reports and export options

Reports reflect recorded data and configured definitions. A maintenance dashboard is not, by itself, a full production OEE calculation.

Explore reporting & analytics
Manufacturing maintenance performanceSAMPLE VIEW
RELIABILITY REVIEW / SELECTED PERIOD
Find the assets behind the stopsIllustrative maintenance records
4 hRecorded downtime
92%PMs completed on time
12Closed work orders
Sample recorded downtime by asset The conveyor has 120 minutes, the CNC machine has 75 minutes and the packaging machine has 45 minutes of recorded downtime. These illustrative records total 240 minutes, or four hours. Conveyor CV-07 120 minCNC-014 75 minPackaging P-02 45 minRecorded downtime in the selected period
DowntimeMTTRMTBFParts & labor costPower BI
Open the work history behind a recurring loss.
Illustrative interface · Sample factory records, not a product screenshot
The People and Records Behind Reliable Work

Support the work.
Keep the evidence.

Connect maintenance execution with the people, procedures and equipment decisions around it.

Inspection & Completion Records

Use digital checklists, observations, photos and signatures to document the work performed. Keep the evidence attached to the asset or task.

Explore inspection records

Technician & Workforce Planning

Coordinate technician availability, shifts and assignments. Review workloads so planned work and reported problems have a clear owner.

Explore workforce management

Equipment Lifecycle Decisions

Keep purchase details, warranty information and maintenance history together when reviewing whether an asset needs repair, replacement or retirement.

Explore asset lifecycle management
One Platform. A Useful View for Every Role.

Give each team the context it needs.

For Plant & Operations Managers

Review the work that needs attention, the machines behind recurring stops and the information available for the next production discussion.

A clearer view of plant priorities

For Maintenance & Reliability Teams

Plan service, review equipment history and give technicians a clear next task. Keep the resulting work, observations and parts usage together.

Context before, during and after the job

For Stores, Procurement & Finance

Review stock needs, purchasing progress and recorded maintenance costs without reconstructing the history behind every request.

Traceable requests, stock and spending
ERP, Business Systems & Connected Devices

Connect factory operations
to the rest of the business.

Keep maintenance execution connected to supported enterprise, inventory and financial records. Define which system owns each record before deciding how updates should move.

SAPEnterprise and asset records
Oracle NetSuiteFinance and inventory
Microsoft Dynamics 365Business data exchange
Sage IntacctFinancial workflows
OdooERP records and workflows
QuickBooks & XeroAccounting connections
Power BIReporting and analysis
RFID HardwareCompatible readers and tags
IIoT SensorsCondition and runtime inputs
API ConnectionsScoped system integrations

Connections are scoped to your systems and workflows. Confirm the supported records, synchronization direction, refresh frequency, licensing and hardware compatibility during your demonstration.

Explore ERP & business integrations
Built Around Your Manufacturing Environment

Built for different plants.
Connected by the same priorities.

Configure assets, procedures and connected workflows around the equipment and operating requirements of your plant.

Building Materials

Coordinate maintenance for processing equipment, handling systems and the utilities that support the site.

Explore building materials

Food & Beverage

Organize equipment maintenance, inspection records and supporting facility tasks around your production environment.

Explore food & beverage

Chemical Manufacturing

Keep asset records, inspections and approved maintenance procedures connected for plant equipment and utilities.

Explore chemical manufacturing

Plastics & Packaging

Bring molding, conveying and packing equipment into a shared view of maintenance history and service requirements.

Explore equipment management

Agribusiness & Processing

Manage equipment records and service needs across processing areas, storage facilities and supporting operations.

Explore agribusiness
CMMS Integrations

Connect DreamzCMMS with your existing systems

Connect maintenance data with ERP, accounting, inventory, RFID, IoT, SAP, Power BI and other business systems.

Integrations

  • SAP
  • Sage Intacct
  • Stripe
  • Zebra
  • CIMCON
  • Oracle NetSuite
  • Intuit QuickBooks
  • Propelr
  • Microsoft Dynamics 365
  • Xero
  • Razorpay
  • Samsara
  • Odoo
  • TallyPrime
  • RevRex
  • PhonePe
  • Chainway
  • CardConnect
  • Codat
  • Siesa
  • Unleashed
  • Shopify
  • Monnit
  • Birdeye
  • SAP
  • Oracle NetSuite
  • Microsoft Dynamics 365
  • Odoo
  • Sage Intacct
  • Intuit QuickBooks
  • Xero
  • TallyPrime
  • RevRex
  • Stripe
  • Propelr
  • Razorpay
  • PhonePe
  • CardConnect
  • Codat
  • Zebra
  • Chainway
  • CIMCON
  • Samsara
  • Monnit
  • Siesa
  • Unleashed
  • Shopify
  • Birdeye
CMMS ratings and reviewsGet a quick view of CMMS ratings from trusted independent review platforms.
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Manufacturing Software FAQ

Questions from manufacturing teams.

Explore maintenance, material tracking, connected equipment and the setup your operation needs.

What is manufacturing automation software?

Manufacturing automation software helps connect factory workflows and operational data. DreamzCMMS brings asset maintenance, work orders, inventory, purchasing, RFID tracking, connected condition monitoring and reporting into a shared workspace. It supports the work around production rather than implying autonomous control of every machine.

What is manufacturing maintenance software?

Manufacturing maintenance software is a CMMS built for production environments. It keeps machine records, preventive maintenance schedules, work orders, spare parts and downtime history in one system so plants can keep lines running. DreamzCMMS adds mobile access for technicians, RFID asset tracking and VEDA AI assistance.

What is a CMMS for manufacturing?

A CMMS for manufacturing is software that plans, assigns and records maintenance on production equipment. It replaces spreadsheets and paper logs with scheduled inspections, digital work orders and a full service history for every machine, so maintenance, production and stores teams work from the same information.

How can DreamzCMMS help reduce unplanned downtime?

Teams can schedule preventive work, capture equipment problems, review condition events and follow repairs through to completion. Asset history and downtime reporting help identify repeat issues. Results depend on the maintenance program, response process and the quality of the records, not software alone.

Can maintenance be scheduled by date, runtime or equipment condition?

Yes. Maintenance schedules can use calendar intervals, meter readings, usage or defined conditions. Recurring work orders keep the task linked to the asset and assigned team. Automatic runtime or sensor-based triggers depend on the relevant data connections and configured rules.

Do we need IIoT sensors to start using the platform?

No. Asset records, work orders, preventive maintenance and parts workflows can start with information entered by your team. IIoT monitoring adds connected condition and usage inputs where compatible sensors, gateways and data access are available.

Can technicians work offline on the factory floor?

Yes. The mobile CMMS supports offline maintenance work, including supported work details, checklists, notes and evidence capture. Updates synchronize after the device reconnects. Confirm the specific offline workflows, device requirements and synchronization behavior for your setup.

How does RFID help with manufacturing inventory and WIP?

RFID readers identify tagged items at configured read points. Those events can support receiving, stock movement, tool tracking and work-in-progress checkpoint records. The available location detail depends on reader coverage, tag choice and event configuration; a read point is not continuous GPS positioning.

Can we connect spare parts to work orders and purchasing?

Yes. Teams can associate parts with assets and work orders, review available quantities and record consumption. Stock thresholds, purchase requests, approvals, vendor records and receiving workflows support replenishment. This keeps the reason for a parts request connected to the maintenance work.

What does VEDA AI do for manufacturing teams?

VEDA helps teams ask questions about connected assets, work orders, inventory and maintenance history. It can assist with finding approved documents, drafting checklists and preparing work summaries. Available answers and actions depend on enabled features and permissions; people should review generated guidance before using it.

Which manufacturing maintenance reports are available?

DreamzCMMS supports reporting on downtime, work orders, maintenance completion, parts usage, asset costs, MTTR and MTBF. Power BI views and filters help teams explore their recorded data. Agree on event definitions and calculation rules before comparing results across assets or sites.

Can DreamzCMMS connect to our existing ERP?

Yes. Scoped integrations can connect supported asset, inventory, vendor, purchasing, cost and financial records with business systems such as SAP, Oracle NetSuite, Microsoft Dynamics 365 and other platforms. Confirm the connector, system of record, supported fields and synchronization direction for your environment.

Can we use the platform across several manufacturing sites?

Yes. Assets, work, parts and facility records can be organized across locations. Role-based access and site-level views help local teams focus on their work while managers review broader operations. Define a consistent asset structure and reporting approach when configuring multiple plants.

How do we arrange a manufacturing software demo and pricing?

Book a demonstration with an example asset list, maintenance task or inventory process. Review the sites, users, workflows, sensors, RFID hardware and integrations your operation needs. The team can then confirm the appropriate scope, configuration and pricing.