7thLite ‑ Inventory Manager

Develop by 7thonline, Inc.

Free plan available

Premier inventory and forecasting solution for your business

Reorder recommendations

Test buy module

Sales trend analysis

Automated order execution

Graphical reports

About 7thLite ‑ Inventory Manager

Launched Jan 12, 2023

Built by 7thonline, Inc.

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Description

Manage inventory and optimize cash flow using sophisticated algorithms allowing for better sales.

With 7thLite you will have the ability to better react and proactively respond to your customer's preferences. 7thLite automatically analyzes your business and makes reorder recommendations to have the right product when your customer wants it. 7thLite's Test Buy module allows you to test products and reorder quantities within two days of selling to prepare for future demand trends. 7thLite's Report module uses graphs and charts with drill down capabilities to place data at your fingertips.

Proprietary algorithms analyzing sales trends and inventory productivity
AI and Machine Learning algorithms to determine inventory overages & shortages
User entered projections to manage inventory productivity and Open to Buy (OTB)
Automated order execution based on projections
Pre-made reports based on best practices with graphs, charts and drill down

Pros

Premier inventory and forecasting solution using AI and machine learning
Automatically analyzes sales trends and makes reorder recommendations
Includes Test Buy module for testing products and adjusting reorder quantities quickly
Uses proprietary algorithms to determine inventory overages and shortages
Features automated order execution based on projections
Offers user-friendly reports with graphs, charts, and drill-down capabilities
Allows user-entered projections for better inventory management
Facilitates proactive response to customer preferences

Cons

Potential complexity in setup due to advanced algorithms and AI usage
May require initial learning curve for users unfamiliar with inventory management software
Limited flexibility if proprietary algorithms do not align perfectly with user needs
Dependency on accurate input data for effective analysis and recommendations
Potential for over-reliance on automated recommendations without manual oversight