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What is Gimme VMS?

An all-encompassing software solution created to manage every aspect of your operations features two specialized applications aimed at different roles within your business. The real-time accountability dashboard allows for quick identification of any inconsistencies related to overages and shortages, thus removing the necessity for detailed reporting. If product, meter, and DEX O/S values are found to be excessively high or low, it may indicate potential problems like missed DEX readings, inaccurate DEX data, or errors in manual entry. You can quickly evaluate a particular vend visit to uncover elements that may be causing these discrepancies, such as stockouts. Additionally, the use of conditional highlighting enables you to focus on specific POS systems to study trends, including repeated stockouts of certain products across various visits. By adopting the Gimme Key Pro for dependable DEX tracking, your drivers can reduce the burden of manual inventory tasks at machines, consequently lowering errors and improving accuracy, which ultimately results in fewer stockouts on the machines. The shift from previous DEX practices can also significantly boost your drivers' efficiency. Moreover, this system provides your drivers the capability to act immediately when they notice a stockout situation, allowing for proactive inventory management. As a result, you can achieve better inventory oversight and ensure the seamless operation of your business. This comprehensive approach not only enhances productivity but also contributes to a more responsive supply chain.

What is Forthcast?

Forthcast is a cutting-edge application tailored for Shopify merchants that leverages artificial intelligence to improve demand forecasting and inventory management. By analyzing the historical sales data of your store, it can forecast SKU-level demand for up to a year ahead, enabling you to make informed purchasing choices that help prevent both stock shortages and surplus inventory. Notable features include comprehensive demand forecasts that factor in seasonal trends; smart reorder alerts along with calculations for reorder thresholds; automatic purchase order creation; monitoring of lost sales to evaluate revenue impacts from stock shortages; identification of unusual demand patterns; support for bundles and kits without duplicating stock; adjustable safety stock configurations; management of inventory across multiple locations; and insights on forecast accuracy. Forthcast integrates in real-time with Shopify, and it also works seamlessly with other platforms like Amazon, QuickBooks, Xero, and Notion. It is specifically crafted to support expanding retailers with large and dynamic product catalogs that have outgrown the limitations of conventional spreadsheet-based planning tools, providing a more effective and precise approach to inventory management. Furthermore, this application enables merchants to fine-tune their stock levels efficiently, which ultimately contributes to improved profitability and enhanced customer satisfaction, making it an indispensable tool for modern retail operations.

Media

Media

No images available

Integrations Supported

Avanti
Cantaloupe Seed
Lightspeed Retail
Nayax
Parlevel VMS
VendMAX

Integrations Supported

Amazon
Notion
QuickBooks Online
Shopify
Xero

API Availability

API Availability

Pricing Information

$2,398 per month

Pricing Information

$19.99/month
Free Trial Offered?

Supported Platforms

SaaS
iPhone
iPad
Windows

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Gimme

Company Location

United States

Company Website

www.gimmevending.com

Company Facts

Organization Name

Forthcast

Date Founded

2025

Company Location

Netherlands

Company Website

www.forthcast.io

Categories and Features

Categories and Features

Inventory Management

Not specified

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