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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
No
API Access
Has API
No
Integrations
ArcGIS
No
Elasticsearch
No
Google Maps
No
IBM Cloud
No
Kibana
No
MarkLogic
No
Microsoft Dynamics 365
Yes
NetSuite
Yes
Odoo
Yes
Oracle Fusion Cloud ERP
Yes
Integrations
ArcGIS
Yes
Elasticsearch
Yes
Google Maps
Yes
IBM Cloud
Yes
Kibana
Yes
MarkLogic
Yes
Microsoft Dynamics 365
No
NetSuite
No
Odoo
No
Oracle Fusion Cloud ERP
No
Pricing Details
$39
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
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
No
Catalog Management
No
Inventory Management
No
Order Entry
Yes
Order Fulfillment
No
Order Tracking
Yes
Recurring Orders
No
Returns Management
No
Shipping Management
No
Special Order Management
No
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
