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Description
AutoSalesOrder is a powerful automation tool designed to help sales operations and customer service teams manage incoming purchase orders by transforming unstructured and inconsistent formats into clean, ERP-ready sales orders. It supports diverse input formats such as PDFs, Excel files, emails, and even call transcripts, extracting order data using intelligent field mapping and fuzzy matching algorithms. The platform provides a manual review interface to allow teams to verify, adjust, and approve extracted orders before exporting them in a structured format compatible with leading ERP systems including SAP, Oracle, Microsoft Dynamics 365, and NetSuite. By integrating directly with email inboxes and file drop points, AutoSalesOrder ensures seamless data flow into existing workflows. Founded by industry professionals familiar with the frustrations of messy order intake, the software aims to save teams hours of manual cleanup and data entry. Plans cater to different business sizes, from starter packages for smaller teams to custom solutions for high-volume enterprises. The system improves order processing speed, accuracy, and operational scalability. AutoSalesOrder enables businesses to reduce errors and stay on top of sales orders without needing to add headcount.
Description
NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.
API Access
Has API
API Access
Has API
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft Dynamics 365
NetSuite
Odoo
Oracle Fusion Cloud ERP
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Microsoft Dynamics 365
NetSuite
Odoo
Oracle Fusion Cloud ERP
Pricing Details
$39
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Anvil Labs
Country
United States
Website
autosalesorder.com
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/name-matching-software
Product Features
Order Management
Back Order Management
Catalog Management
Inventory Management
Order Entry
Order Fulfillment
Order Tracking
Recurring Orders
Returns Management
Shipping Management
Special Order Management
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management