Master data automation
Stop fixing master data errors every day
Automate master data cleansing across SAP, Salesforce, Snowflake, and the rest of your stack. Built for SMEs in manufacturing, logistics, and wholesale running SAP, Dynamics 365, Business Central, or Infor.
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companies that trust lleverage
Your data team spends hours filling missing product attributes, deduplicating customers across SAP, Salesforce, and Oracle, and reconciling supplier records by hand. Building one validation rule in your data quality stack takes two hours. The real problem is not finding errors. It is fixing them across every system, every single day. Master data automation is what closes that gap.
Auto-fill missing master data in seconds
Your data team faces missing product attributes, incomplete customer addresses, and orphaned supplier records every day. Lleverage finds the patterns in your existing data and auto-fills the gaps with confidence scores. Your team reviews only the exceptions.
Match and deduplicate records across every system
Customer records sit in SAP, Salesforce, and Oracle with slight naming differences, partial addresses, and tax IDs that almost match. Lleverage reconciles them automatically, surfacing only the borderline matches for your stewards to confirm.
Captures customer orders from email, EDI 850, scans, and portal exports
Matches lines to your item master, customer contracts, and capacity windows
Flags unknown customers, capacity gaps, missing references, and duplicate entries
Works across formats: email, PDF, Excel, EDI 850, customer portals, and scans
Codify your business rules into reusable workflows
Your hierarchy mappings, regional validations, and product classifications live in Excel sheets, data quality stack rules, and your team's heads. Lleverage codifies them into testable workflows that survive ERP migrations and staff turnover.
Manual rule creation: 2 hours per rule
Under 5 min
Uses your existing data quality stack and business rules
Gets more accurate as your team validates more records
Writes clean records back to SAP, Salesforce, Oracle, Microsoft Dynamics, and your data warehouse
Handle exceptions inside your existing data quality stack
Records the model flags as uncertain, conflicting attributes, regional ambiguities, brand-new SKUs, get routed straight to your data quality dashboard. Stewards review with full context, approve or correct, and the model learns from every decision.
“It takes significantly more time and we see many more mistakes from sales staff not using the Lleverage Volume Calculation tool. So now we gave everyone a seat on the platform and made it mandatory - every new quote goes through it now.”
Sanne Voesten
Exellyn
companies that trust lleverage
Implementation timeline
Live in four weeks across customer, product, and supplier domains
Start with your highest-volume master data issue, often customer deduplication or product classification. Lleverage automates that first, measures the savings, then expands across domains.
Week 1
Connect systems and audit data domains
Connect Lleverage to your data quality stack, ERP, CRM, and data warehouse. Audit the master data domains where errors stack up daily, customer, product, and supplier.
Week 2
Configure rules and run shadow mode
Run cleansing in shadow mode. Lleverage proposes auto-fills, deduplications, and reconciliations. Your stewards review and approve, the model learns from every decision.
Week 4
Full master data automation in production
Switch to autonomous mode for the rules and domains your team has approved. Manual corrections drop by 80%. Stewards focus on the records the model flags for review.
Why Lleverage
Master data automation, made secure
Built for data, finance, and IT teams that need clean records across every system, not just one. Enterprise security, EU residency, and a Solution Engineer dedicated to your rollout.
A dedicated Solution Engineer for your project
White-glove onboarding and premium support for enterprise customers. A complete deployment with continuous support to keep your master data automation in production.
Zero data retention on the LLM layer
Your master data and ERP records are processed in real time and immediately purged from external providers. No persistent storage, no logging, no model training on your data.
Enterprise SSO and SCIM provisioning
SAML SSO and SCIM provisioning let your teams sign in with corporate credentials, with centralized access control and security policies.
Enterprise-grade security and compliance
SOC 2 Type II audited, ISO 27001 certified, and GDPR compliant with EU regional residency. Full audit trail for every record action.
FAQs
Everything you want to know about master data automation
Our master data is too messy and inconsistent for automation
That is exactly why automation works. Messy master data has hidden patterns: product hierarchies, customer similarities, regional variations, supplier naming conventions. Lleverage learns from the 80 percent of clean records to predict and fill the chaotic 20 percent. Your stewards review only the records the model is uncertain about.
We have hundreds of custom business rules
Your rules already exist somewhere, in your data quality stack, Excel sheets, or in your team's heads. Lleverage codifies them into reusable workflows. Complex product classifications, regional validations, and hierarchy mappings become testable, automated logic that survives staff turnover and ERP upgrades.
What about our existing data quality tools?
Lleverage enhances, not replaces. Whatever stack you currently run, Lleverage works alongside it. They identify issues, Lleverage fixes them automatically. Your existing investment becomes more valuable when it is no longer bottlenecked by manual corrections.
How long before we see results from master data automation?
First automation live in three to four weeks. Pick your most time-consuming master data issue, often customer deduplication or product classification. Lleverage automates that first, measures the time savings, then expands to other domains. Most customers see an 80 percent reduction in manual master data work.
Is our master data secure?
Enterprise-grade security with SOC 2 Type II and ISO 27001 certification. Your data stays in the EU or your chosen region. Zero data retention with enterprise contracts. Your data never trains third-party AI models. Full audit trail for compliance.