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What is ShelfCall?

ShelfCall is a specialized software solution tailored for managing inventory in bars and restaurants. Employees can navigate through their storage areas by vocally identifying bottles and noting their fill levels, while the app meticulously records the counts of liquor, beer, and wine in tenths. It matches the spoken names against the establishment’s inventory database and prompts users to clarify any unclear identifications, thus adapting to confirmed naming variations. Before finalizing the inventory, ShelfCall highlights any bottles that may have been missed for evaluation, ensuring they are not prematurely categorized as empty. Teams can manage several storage locations, review historical count data, and create downloadable inventory reports. For users on the paid subscription, there is an added benefit of integrating a point-of-sale system or uploading sales data, which allows the software to automatically deduct sold items from inventory based on set recipe quantities. ShelfCall caters specifically to bar owners, restaurant managers, and staff tasked with tracking beverage stocks and analyzing consumption trends. The platform offers a free version that supports a single bar area, while the extensive full-bar plan is priced at $59 per month. Furthermore, the user-friendly interface of the software significantly enhances operational efficiency, making it an essential asset for effective stock management, and its continuous updates promise to provide even better features in the future.

What is NetOwl NameMatcher?

NetOwl NameMatcher, celebrated for its superior performance in the MITRE Multicultural Name Matching Challenge, offers exceptional accuracy, rapid processing, and scalability in its name matching solutions. Utilizing a cutting-edge machine learning framework, NetOwl adeptly addresses the complex challenges associated with fuzzy name matching. Traditional techniques like Soundex, edit distance, and rule-based systems frequently struggle with precision, leading to an abundance of false positives, and recall issues that result in false negatives, particularly when faced with the varied fuzzy name matching scenarios mentioned earlier. In contrast, NetOwl adopts a data-driven, machine learning-based probabilistic approach to overcome these name matching challenges effectively. It autonomously develops advanced, probabilistic name matching rules from vast real-world datasets containing multi-ethnic name variants. Additionally, NetOwl implements specialized matching models designed for different entity types, including individuals, organizations, and geographical locations. To enhance its functionality, NetOwl incorporates automatic detection of name ethnicity, which significantly boosts its adaptability to the complexities inherent in multicultural name matching. This holistic strategy not only elevates accuracy but also ensures dependable performance across a wide array of applications. Consequently, organizations relying on precise name matching can greatly benefit from the innovative solutions provided by NetOwl.

Media

Media

Integrations Supported

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

API Availability

API Availability

Pricing Information

$59/month
The free plan covers one bar area. The full-bar plan costs $59 per month and includes POS connection or sales-report upload with recipe-based stock deductions.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Walker Brown

Date Founded

2026

Company Location

United States

Company Website

shelfcall.com

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/name-matching-software

Categories and Features

Bar Inventory

Not specified

Categories and Features

Data Quality

Not specified

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