Docufy - Tredence
FEATURES
fa-

Data Cleansing

Data standardisation & AI/ML led data cleansing
et-

Data
Enrichment

Enrichment from unstructured data sources, proprietary and 3rd party sources
et-

Hierarchy
Management

Automated hierarchy mapping & ML based master data categorization at scale
fa-

Data
Quality

ML based automated anomaly detection for hierarchies, categorical and numeric data types
fa-

Data
Oversight

ML based ongoing data management to ensure continuous data quality management
fa-

Optical Character Recognition

Leverage the power of ML algorithms to digitize paper/pdf invoices, eliminating tedious data entry job
fa-

Domain Expertise

Deep understanding of Supply chain, procurement and finance
et-

ML Based Reconciliation

Machine Learning based matching algorithm that actively learns and improves, reduces manual intervention
et-

RPA Compatible

Efficient automation of existing processes by integrating with RPA tools
fa-

Insights Alerts Notifications

Configurable Workflow to send alerts/notifications to users, dashboards provide valuable business insights
et-i

Integration with ERP

Integrates seamlessly with existing ERP applications like Oracle, SAP, NetSuite, etc.
  1. AP Invoice Reconciliation: Seamlessly match Invoice details with Purchase Order and Goods Receipt Note (2/3/4way match) to reduce cost and effort to process invoices
  2. Freight Audit: Validate Invoice attributes to detect anomalies and democratize audit reports for quick decision making
  3. Cash Application Process Automation: Reconcile payments received via multiple sources remittance information and invoices thus reduce Time to Process payment information
  4. AR Sales Order Reconciliation: Reconcile Sales Order against Invoice and Purchase Order to reduce DSO (days sales outstanding)
  1. AP Invoice Reconciliation: Seamlessly match Invoice details with Purchase Order and Goods Receipt Note (2/3/4way match) to reduce cost and effort to process invoices
  2. Freight Audit: Validate Invoice attributes to detect anomalies and democratize audit reports for quick decision making
  3. Cash Application Process Automation: Reconcile payments received via multiple sources remittance information and invoices thus reduce Time to Process payment information
  4. AR Sales Order Reconciliation: Reconcile Sales Order against Invoice and Purchase Order to reduce DSO (days sales outstanding)
et-

Customer MDM with Cognitive RPA

Enabling a unified and cleansed customer master across the enterprise by integrating multiple CRM systems
et-

Product Hierarchy Management at Scale

Enabling development of product master data by standardizing taxonomy and cleansing data from different suppliers/retailers
et-z

Contact MDM with External Data

Enabling better marketing effectiveness through cleansing and 3rd party data enrichment of contact data systems
fa-

Product Attribute Enrichment with Computer Vision

ML tools & algorithms to extract attributes from images of multiple formats and enrich existing product attribute master data
fa-

Vendor Data Quality Management

Enabling unification of vendor database through cleansing, hierarchy & data quality management
et-

Material Master Data Management

Enabling unification of material level master data through cleansing, hierarchy & data quality management
DEMO VIDEO
USE CASES
  1. AP Invoice Reconciliation: Seamlessly match Invoice details with Purchase Order and Goods Receipt Note (2/3/4way match) to reduce cost and effort to process invoices
  2. Freight Audit: Validate Invoice attributes to detect anomalies and democratize audit reports for quick decision making
  3. Cash Application Process Automation: Reconcile payments received via multiple sources remittance information and invoices thus reduce Time to Process payment information
  4. AR Sales Order Reconciliation: Reconcile Sales Order against Invoice and Purchase Order to reduce DSO (days sales outstanding)
  1. AP Invoice Reconciliation: Seamlessly match Invoice details with Purchase Order and Goods Receipt Note (2/3/4way match) to reduce cost and effort to process invoices
  2. Freight Audit: Validate Invoice attributes to detect anomalies and democratize audit reports for quick decision making
  3. Cash Application Process Automation: Reconcile payments received via multiple sources remittance information and invoices thus reduce Time to Process payment information
  4. AR Sales Order Reconciliation: Reconcile Sales Order against Invoice and Purchase Order to reduce DSO (days sales outstanding)

Start a Conversation

Drop us a note through this form and we’ll get back to you as soon as we can.

Contact US