Hillenbrand is a global industrial company that engineers and manufactures highly specialized processing equipment and solutions. The company's strategy involves a strategic portfolio shift towards industrial markets like plastics, food, and recycling. This transformation includes acquisitions and divestitures to focus on high-growth segments. The Hillenbrand Operating Model (HOM) standardizes lean practices across global sites, targeting continuous improvement and customer-centric service. Hillenbrand also expands its revenue model by adding subscription-based predictive maintenance using IoT sensors.
This transformation creates critical dependencies on robust system integrations and accurate data flows across newly integrated businesses. The continuous process of integrating acquired companies introduces risks of data silos, inconsistent operational workflows, and challenges in maintaining unified data for reporting. This page analyzes Hillenbrand's specific digital initiatives and the operational breakdowns they create, highlighting opportunities for targeted seller engagement.
Hillenbrand Snapshot
Headquarters: Batesville, USA
Number of employees: 8,200
Public or private: Private
Business model: B2B
Website: https://www.hillenbrand.com
Hillenbrand ICP and Buying Roles
Hillenbrand sells to mid-to-large manufacturers with complex process engineering requirements. These companies operate in industries such as plastics, food processing, chemicals, and recycling, requiring specialized equipment and integrated solutions.
Who drives buying decisions
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Chief Information Officer → Oversees IT strategy, infrastructure, and application integration across global operations.
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VP of Operations → Manages manufacturing processes, operational efficiency, and equipment performance.
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Plant Manager → Directs daily plant activities, equipment maintenance, and production optimization.
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Director of Procurement → Manages supplier relationships, equipment purchasing, and supply chain continuity.
Key Digital Transformation Initiatives at Hillenbrand (At a Glance)
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Implementing IoT sensors into equipment for predictive maintenance applications.
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Integrating acquired company ERP systems into a centralized financial platform.
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Developing digital twins for supply chain optimization and process simulation.
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Automating data collection from manufacturing equipment for performance analysis.
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Standardizing global supply chain data for improved visibility and resilience.
Where Hillenbrand’s Digital Transformation Creates Sales Opportunities
| Vendor Type | Where to Sell (DT Initiative + Challenge) | Buyer / Owner | Solution Approach |
|---|---|---|---|
| Data Integration Platforms | Integrating acquired company ERP systems: inconsistent financial data appears across merged accounting ledgers. | Chief Information Officer, VP of Finance | Consolidate disparate ERP data sources into a unified financial reporting system. |
| Integrating acquired company ERP systems: duplicate vendor records create payment processing errors. | Director of Procurement, Head of Accounts Payable | Synchronize vendor master data across multiple ERP instances to eliminate redundancy. | |
| Standardizing global supply chain data: fragmented inventory data causes delayed production scheduling. | VP of Supply Chain, VP of Operations | Centralize and harmonize inventory data from global manufacturing sites for accurate planning. | |
| Predictive Maintenance Solutions | Implementing IoT sensors for predictive maintenance: sensor data streams fail to connect to analysis platforms. | VP of Operations, Plant Manager | Establish reliable data pipelines from IoT edge devices to cloud-based analytics engines. |
| Implementing IoT sensors for predictive maintenance: equipment anomalies do not trigger maintenance alerts. | Plant Manager, Head of Maintenance | Configure automated alert mechanisms based on real-time machine performance deviations. | |
| Supply Chain Visibility Software | Standardizing global supply chain data: raw material tracking lacks real-time location updates. | VP of Supply Chain, Logistics Manager | Provide end-to-end visibility of raw materials and finished goods across the global logistics network. |
| Developing digital twins for supply chain optimization: simulation models do not reflect current warehouse layouts. | VP of Supply Chain, Head of Engineering | Update digital twin models with real-time physical asset layouts and operational parameters. | |
| Manufacturing Analytics Tools | Automating data collection from manufacturing equipment: machine performance metrics appear incomplete in dashboards. | VP of Manufacturing, Data Engineering Lead | Aggregate machine data into a central repository for comprehensive operational performance reporting. |
| Automating data collection from manufacturing equipment: production line bottlenecks are not identified proactively. | Plant Manager, Process Engineer | Analyze real-time production data to highlight and address operational constraints before they impact output. |
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What makes this Hillenbrand’s digital transformation unique
Hillenbrand prioritizes deeply integrating acquired industrial businesses into a cohesive operational framework, rather than simply adopting new technologies. The company heavily depends on its Hillenbrand Operating Model (HOM) to standardize processes and drive efficiency across diverse global sites. This transformation is complex because it merges legacy systems from multiple entities while focusing on high-value industrial segments like engineered plastics and food processing. Hillenbrand also strategically invests in subscription-based digital services like predictive maintenance, shifting towards a recurring revenue model.
Hillenbrand’s Digital Transformation: Operational Breakdown
DT Initiative 1: Implementing IoT sensors into equipment for predictive maintenance applications
What the company is doing
Hillenbrand deploys Internet of Things (IoT) sensors on its industrial processing equipment to gather operational data. This data feeds into systems designed to anticipate equipment failures. The company expands its subscription-based predictive maintenance offerings.
Who owns this
- VP of Operations
- Chief Information Officer
- Head of Engineering
Where It Fails
- Sensor data streams fail to transmit consistently to the central monitoring platform.
- Equipment anomaly alerts do not reach maintenance teams in real-time.
- Data collected from older machinery lacks standardization for predictive analytics models.
- Predictive maintenance models generate false positive alerts for functional equipment.
- Integration with existing enterprise asset management (EAM) systems causes data synchronization conflicts.
Talk track
Noticed Hillenbrand scales predictive maintenance applications using IoT sensors. Been looking at how some industrial firms isolate critical sensor data instead of collecting everything, can share what’s working if useful.
DT Initiative 2: Integrating acquired company ERP systems into a centralized financial platform
What the company is doing
Hillenbrand acquires and integrates new industrial businesses, merging their Enterprise Resource Planning (ERP) systems. This process centralizes financial data onto a unified platform like Oracle JD Edwards EnterpriseOne. The company aims to consolidate financial reporting and operational transparency.
Who owns this
- Chief Information Officer
- VP of Finance
- Director of M&A Integration
Where It Fails
- Financial transaction data fails to transfer completely from acquired ERPs to the central platform.
- Duplicate vendor records appear in the consolidated ERP after system migrations.
- Chart of accounts discrepancies exist between legacy and new ERP systems.
- Intercompany reconciliation processes require extensive manual adjustments after data import.
- User access permissions across different ERP environments are not consistently enforced.
Talk track
Looks like Hillenbrand integrates acquired company ERP systems. Been seeing how some industrial companies standardize data structures before migrating information, happy to share what we’re seeing.
DT Initiative 3: Automating data collection from manufacturing equipment for performance analysis
What the company is doing
Hillenbrand implements systems to automatically collect operational data from its diverse manufacturing equipment. This data serves to analyze production efficiency and identify areas for process improvement. The company optimizes product quality and resource utilization.
Who owns this
- VP of Manufacturing
- Data Engineering Lead
- Plant Manager
Where It Fails
- Automated data feeds from legacy machines cease without notification.
- Production line performance metrics lack real-time updates in central dashboards.
- Data quality issues originate from inconsistent labeling across various machine types.
- Correlating machine uptime data with production output figures presents inaccuracies.
- Compliance reporting systems require manual data validation due to fragmented sources.
Talk track
Saw Hillenbrand automates data collection from manufacturing equipment. Been looking at how some operations teams validate data completeness at the source instead of fixing it later, can share what’s working if useful.
DT Initiative 4: Standardizing global supply chain data for improved visibility and resilience
What the company is doing
Hillenbrand establishes consistent data standards across its global supply chain operations. This initiative aims to enhance visibility into inventory, logistics, and supplier performance. The company strengthens its supply chain against disruptions and supports local sourcing strategies.
Who owns this
- VP of Supply Chain
- Chief Sustainability Officer
- Director of Logistics
Where It Fails
- Supplier performance data from different regions lacks a unified format.
- Raw material tracking systems do not provide real-time location updates.
- Inventory levels appear inaccurate due to delays in warehouse data synchronization.
- Logistics routing systems encounter data gaps for international shipments.
- Risk assessment models fail to incorporate comprehensive supplier compliance data.
Talk track
Noticed Hillenbrand standardizes global supply chain data. Been looking at how some enterprises centralize data governance before integrating diverse sources, happy to share what we’re seeing.
Who Should Target Hillenbrand Right Now
This account is relevant for:
- Enterprise Data Integration Platforms
- Industrial IoT Analytics Providers
- Supply Chain Orchestration Software
- Predictive Maintenance & Asset Performance Management Platforms
- Manufacturing Operations Management (MOM) Solutions
Not a fit for:
- Basic HR software without global integration
- Generic marketing automation tools
- Stand-alone CRM systems for small businesses
- Non-specialized IT staffing agencies
When Hillenbrand Is Worth Prioritizing
Prioritize if:
- You sell solutions that reconcile financial discrepancies across disparate ERP systems.
- You sell platforms that ensure consistent data transmission from industrial IoT sensors to analytics platforms.
- You sell tools that provide real-time visibility and tracking for global supply chain logistics.
- You sell systems that validate and standardize diverse manufacturing equipment data for performance analysis.
- You sell solutions that prevent duplicate records and enforce data governance across merged enterprise systems.
Deprioritize if:
- Your solution does not address complex industrial equipment data or multi-ERP integration challenges.
- Your product focuses on general business functions without specific manufacturing or supply chain relevance.
- Your offering lacks robust capabilities for global enterprise-level data management.
Who Can Sell to Hillenbrand Right Now
Data Integration Platforms
Informatica - This company provides enterprise cloud data management solutions that enable data integration, data quality, and data governance.
Why they are relevant: Inconsistent financial data appears across Hillenbrand's merged accounting ledgers. Informatica can unify data from disparate ERP systems, ensuring data quality and consistency for accurate financial reporting and compliance.
Talend - This company offers a data integration and data integrity platform that combines ETL, data quality, and master data management.
Why they are relevant: Duplicate vendor records create payment processing errors across Hillenbrand's consolidated ERP. Talend can standardize and de-duplicate vendor master data, preventing errors and improving procurement efficiency.
SnapLogic - This company provides an AI-powered integration platform as a service (iPaaS) for connecting applications, data, and devices.
Why they are relevant: Sensor data streams from Hillenbrand's IoT devices fail to connect reliably to central analysis platforms. SnapLogic can build robust data pipelines, ensuring consistent and real-time data flow for predictive maintenance applications.
Predictive Maintenance & Asset Performance Management Platforms
PTC (ThingWorx) - This company offers an industrial IoT platform for connecting devices, building applications, and integrating data for asset management.
Why they are relevant: Equipment anomaly alerts do not reach Hillenbrand's maintenance teams in real-time. ThingWorx can provide real-time monitoring and alert mechanisms, ensuring timely intervention and reduced downtime.
GE Digital (APM) - This company provides asset performance management software that leverages data analytics to predict and prevent asset failures.
Why they are relevant: Predictive maintenance models generate false positive alerts for functional equipment at Hillenbrand. GE Digital APM can refine these models with advanced analytics and machine learning, reducing unnecessary maintenance tasks.
AspenTech (Asset Performance Management) - This company delivers asset performance management solutions that integrate process data with machine learning for predictive maintenance.
Why they are relevant: Data collected from Hillenbrand's older machinery lacks standardization for predictive analytics. AspenTech can harmonize diverse data formats, enabling comprehensive analysis for improved asset reliability.
Supply Chain Visibility & Resilience Platforms
Kinaxis - This company offers a concurrent planning platform that provides end-to-end supply chain visibility and scenario planning.
Why they are relevant: Hillenbrand's raw material tracking lacks real-time location updates across the global supply chain. Kinaxis can provide a unified view of inventory and shipments, improving planning and responsiveness to disruptions.
E2open - This company provides a network-based platform for multi-enterprise collaboration, supply chain planning, and logistics execution.
Why they are relevant: Supplier performance data from different regions lacks a unified format for Hillenbrand's analytics. E2open can standardize supplier data, enabling accurate performance assessments and risk management.
Blue Yonder - This company offers AI-powered supply chain management solutions for planning, execution, and commerce.
Why they are relevant: Hillenbrand's logistics routing systems encounter data gaps for international shipments. Blue Yonder can optimize logistics routes with complete and accurate data, reducing costs and improving delivery times.
Manufacturing Operations Management (MOM) Solutions
Siemens Opcenter - This company provides a comprehensive suite of MOM software for managing and executing manufacturing operations.
Why they are relevant: Production line bottlenecks at Hillenbrand are not identified proactively from automated data. Siemens Opcenter can monitor production in real-time, pinpointing constraints and enabling rapid adjustments.
Rockwell Automation (FactoryTalk ProductionCentre) - This company offers a MOM software suite that integrates production, quality, and inventory management.
Why they are relevant: Hillenbrand's compliance reporting systems require manual data validation due to fragmented sources. FactoryTalk ProductionCentre can centralize and validate manufacturing data, ensuring accurate and automated compliance reporting.
Final Take
Hillenbrand scales industrial processing solutions, with notable efforts in integrating acquisitions and adopting digital services like predictive maintenance. Breakdowns are visible in data consistency across merged ERPs, reliable IoT sensor data transmission, and comprehensive supply chain visibility. This account is a strong fit for solutions that enforce data integrity, stabilize data pipelines from diverse industrial sources, and unify operational insights across complex global manufacturing environments.
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