AI AND DATA MANAGEMENT FOR THE MANUFACTURING INDUSTRY
Process Automation AI. Catalog automation. Supply chain intelligence. We build it all for manufacturers
We build AI for manufacturers. Process automation. Catalog automation. Supply chain intelligence. All of it running on clean, governed data — built by the same team, in the same engagement. Because that is the part nobody else owns.
Trusted by enterprise organizations worldwide
THE AI + DATA CHALLENGE IN MANUFACTURING
Why does manufacturing AI keep stalling at the use case stage?
Manufacturers know what they want: accurate product data on the digital shelf, a single view of the customer across every business unit, clean supplier records that support procurement decisions, and the governed item data that planning and production depend on. The problem is not strategy. It is that the data infrastructure required to deliver any of this does not exist.
Product masters are fragmented across plants with inconsistent classifications, missing attributes, and no shared identifier. Customer records are duplicated across CRM, ERP, and service systems with no way to reconcile total spend or service history. Supplier data proliferates through every acquisition with conflicting tax IDs, names, and locations. When manufacturers attempt to build analytics or AI on top of this, the models inherit every inconsistency underneath them.
Across more than 1,000 delivered projects, we have seen this pattern more times than any other. The data is the problem, and that is what we fix.
"We had a clear understanding of what we wanted to accomplish in modernizing our catalog production process and knew we needed the right partner to help guide us. We selected Infoverity for their expertise and experience implementing Informatica Product 360 with the Priint solution, but over the course of the project, the strength of the project management and technical support really stood out."
INFOVERITY´S APPROACH for the manufacturing industry
Manufacturing AI outcomes you can scale, on a master data foundation you can trust
Four reasons manufacturers pick Infoverity to deliver MDM and data management engagements that produce results in production.
One firm for data foundation and the outcomes built on it
Most data consultancies implement the platform and hand off. Infoverity designs the MDM architecture, delivers the implementation, integrates it with your ERP, CRM, and e-commerce systems, and builds the analytics and AI layer on top of the governed data it produces. Your team does not manage handoffs between vendors at every stage. One delivery team, one engagement.
Platform depth across the stack your manufacturing data runs on
We hold certified expertise across the leading cloud MDM, multidomain MDM, product information management (PIM), and cloud data warehousing platforms. From item master governance through to supplier consolidation and customer analytics, we work across the platforms already running in your environment rather than alongside them.
Master data your operations, analytics, and AI can trust
AI models and analytics built on fragmented product, customer, and supplier master data produce unreliable outputs and fail to scale. We build the governed, deduplicated master data layer across all relevant domains: product, customer, supplier, and installed base. Every downstream system, reporting layer, and AI application draws from a single source of truth rather than reconciling inconsistencies independently.
Use cases scoped and return on investment quantified before build
We start with the business problem, not the platform. Whether the priority is consolidating records after an acquisition, governing item creation across plants, or enabling accurate product data on your digital shelf, our delivery team has delivered that use case before in manufacturing. We show you what the outcome looks like before the first sprint starts.
Key challenges in manufacturing
What manufacturing leaders are dealing with right now
Our product data is inconsistent across plants and systems. What is the fix?
When item masters are created without a governed process, every plant creates records differently: inconsistent attributes, missing classifications, non-conforming units of measure, no shared identifier across the enterprise. Planning, procurement, and production all operate on different versions of the same item. We implement a workflow-driven item creation process through multidomain MDM that enforces validation, required attributes, and standardised classification at the point of entry. Items are created complete and consistent from day one, and the errors they would have caused downstream do not happen.
We have acquired companies and now have duplicate records across every domain. Where do we start?
Acquisition integration is one of the highest-cost data problems in manufacturing. The same customer, supplier, or product exists under multiple identifiers across newly combined systems, with no way to reconcile total spend, exposure, or overlap. We use multidomain MDM to rapidly profile, match, and consolidate the acquired records against your existing master data, establish survivorship rules, and produce a unified set of golden records across customer, supplier, and product domains. Leadership gets an accurate consolidated view of the combined entity. The data debt from the acquisition does not compound indefinitely.
Our support teams are working across too many systems to serve customers well. Why?
When customer records, product data, and installed base information live in separate systems with no shared identifier, support agents spend more time assembling a complete picture of a customer than they spend resolving their issue. Every screen switch is a source of delay and error. We use MDM to unify customer, product, and installed base data and surface it directly into the CRM and case management workflow. Agents work from a single, complete, accurate view. Handle time falls. Resolution quality improves.
Our analytics and AI initiatives keep producing results the business cannot trust. Why?
Analytics and AI built on fragmented master data inherit every inconsistency in the underlying records. A customer profitability model that sees the same customer twenty times produces the wrong answer twenty different ways. A supplier spend analysis built on duplicate supplier records understates negotiating leverage. We build the governed master data foundation that analytics and AI require: deduplicated customer golden records with corporate family hierarchies, clean supplier records with total spend visibility, and enriched product data with complete attributes. The models run on data the business can stand behind.
manufacturing success story
How Panduit automated catalog production and built a single source of truth for product data
Panduit needed to automate catalog production and eliminate inconsistency between its product information management (PIM) system and published catalogs. Infoverity integrated the PIM platform with a publishing automation solution and design toolchain, creating an automated process that draws from a single governed product master — now the source of truth for Panduit’s product information across its website and print catalogs.
Tailored solutions for manufacturing
Tailored solutions for manufacturing data management and AI
Acquisition integration
When you acquire a company, you inherit its data. Customer, supplier, and product records from the acquired business duplicate your existing master data with no shared identifier. We use multidomain MDM to match, consolidate, and govern the acquired records into a unified set of golden records, giving leadership an accurate view of the combined entity from day one.
Item creation and process standardization
Inconsistent item master creation is one of the most expensive data problems in manufacturing. We implement a governed, workflow-driven item creation process that enforces validation, required attributes, and standardised classification at the point of entry. Items are complete and consistent from creation, eliminating downstream errors in planning, procurement, and production before they start.
Customer consolidation and analytics
Customer records scattered across CRM, ERP, and service systems with no shared identifier mean the business cannot accurately measure total spend, cross-sell potential, or customer profitability. We use customer MDM to produce a single trusted golden record with legal-entity and corporate family hierarchies, feeding analytics that give every business unit a consistent, accurate view of the customer.
Supplier consolidation and spend analytics
Supplier records proliferate across ERP, procurement, and accounts payable systems through organic growth and acquisition. Without a clean supplier master, procurement cannot negotiate from total spend or identify redundant and high-risk vendors. We implement supplier MDM that deduplicates and enriches supplier records into governed golden records, feeding spend analytics that give procurement the visibility to act.
Front-end enablement and digital shelf
Manufacturers exposing product data to e-commerce sites, web portals, and self-service applications need that data to be complete, enriched, and consistent. Incomplete descriptions, missing attributes, and broken hierarchies in customer-facing channels directly cost revenue. We use multidomain MDM and PIM to govern enriched, syndication-ready records and publish clean product data to digital channels from a single source of truth.
Installed base and post-sales intelligence
Knowing where your products are and who the end customer is enables lifecycle marketing, predictive service, and new revenue opportunities that are invisible without it. We implement customer and installed base MDM into a single governed view — proven at scale with 70M+ master records managed for a global distribution and manufacturing client.
Regulatory compliance and product traceability
ESG and regulatory mandates such as WEEE, Eudamed, and FDA require accurate, auditable product attributes that most manufacturers cannot reliably produce from fragmented systems. We use product MDM combined with content syndication to govern and validate compliance attributes, then distribute that data to the registries and systems that require it, giving the organization a defensible, traceable source of truth for every reporting obligation.
Inventory management and analytics
Excess and obsolete inventory is a capital problem with a data cause. Poor item data, absent product hierarchy, and no unified view of customer purchasing history make it impossible to identify disposal routes or substitution opportunities. We combine multidomain MDM with analytics to classify inventory by cause, surface substitutions from the product master, and identify customers who purchased the affected product before.
Ready to fix the data your manufacturing AI and analytics depend on?
Tell us which problem you are trying to solve: a post-acquisition consolidation, inconsistent product data, a customer view the business cannot agree on. We have delivered it before.
A 30-minute conversation to understand where you are and what it would take to move forward.
