Data reconsolidation

Intelligent Data Reconciliation - Automating Inconsistency Clarification

Challenges addressed

Inconsistent data between CRM, ERP, banking and accounting systems.
Time-consuming and costly manual error detection and correction.
Lack of automation and centralization of the reconciliation process.

SLS-powered solutions

Automatic detection of differences in transactions and financial documents.
AI-driven analysis of inconsistencies and suggestions for corrections.
Integration with banks, CRM, ERP and other business systems.
Automation of error clarification and escalation processes.

Results achieved

Reduction of data errors by 40%.
Reduction of reconciliation time by 80%.
Saving 5,000h in operational time.

Data reconsolidation

Companies use many sources of data - CRM, ERP, banking, e-commerce systems, accounting reports. When data disagrees, manually detecting and explaining the differences is time-consuming, costly and error-prone.

Our no-code/low-code platform uses AI and automated workflows to reconcile data, detecting inconsistencies, pinpointing their causes and suggesting solutions - all without coding.

Automatic reconciliation - faster, more precise, error-free.

With our technology, you can:

  • Automatically compare data from different systems - CRM, ERP, banks, e-commerce, accounting systems.
  • Identify inconsistencies in real time - AI detects differences in transactions, reports, balances, invoices.
  • Automate the clarification process - the system suggests corrections, triggers workflowy and eliminates the need for manual analysis.
  • Integrate data and maintain data integrity - all systems work on synchronized data.

How it works

  • Combine data sources - APIs, CSV/Excel files, databases, banking systems, ERP.
  • AI analyzes and compares records - check consistency of transactions, invoices, account balances, financial reports.
  • Identify and classify differences - e.g. missing entries, incorrect values, incompatible formats.
  • Automatic clarification and correction - AI suggests solutions, workflows trigger corrections and escalations.
  • Monitoring and auditing - full control over data quality and reconciliation history.

Applications for B2C and B2B

  • Banking and finance - automatic transaction matching verification, balance vs general ledger.
  • E-commerce and retail - matching orders, payments, returns between sales and accounting systems.
  • Accounting and audit - detecting differences in financial reports, eliminating document errors.
  • Logistics and production - matching data on deliveries, invoices and warehouses between systems.

Technology that ensures data compatibility

  • No-code/low-code - configuration of reconciliation rules without coding.
  • AI and Machine Learning - automatic detection of inconsistencies and suggestions for corrections.
  • API integrations - connect ERP, CRM, accounting and banking systems in real time.
  • Workflow automation - intelligently clarify differences and dynamically correct data.

Forget manual reconciliation - let AI detect and eliminate inconsistencies for you. Save time, money and avoid mistakes with intelligent automation.

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