Inventoro

AI-driven sales forecasting, replenishment optimization, and inventory management.

Paid

Description

Inventoro leverages artificial intelligence to provide advanced sales forecasting and inventory management capabilities, previously accessible mainly to large corporations. By analyzing up to two years of historical sales data, the platform predicts future demand with high accuracy, enabling businesses to make informed decisions about stock levels. It utilizes a collection of competing algorithms, including deep learning, which continuously refine forecasts to match specific business dynamics.

The system focuses on optimizing inventory through smart replenishment recommendations, aiming to significantly reduce excess stock (targeting up to 40% reduction) and associated holding costs while ensuring high product availability (over 99%) to meet customer demand and prevent stockouts. Key features include automated daily ordering suggestions, product segmentation to identify top performers and underachievers ('Winners', 'Chasers', 'Losers'), and seamless integration with inventory data sources like Cin7, ultimately helping businesses improve cash flow, save time on ordering tasks, and boost profitability.

Key Features

Sales Forecasting: Analyzes up to two years of past sales data to predict future demand.
Replenishment Optimization: Generates daily optimized order lists to meet demand and minimize overstock.
Inventory Reduction: Provides recommendations to decrease inventory size, freeing up cash.
Product Segmentation: Classifies products into Winners, Chasers, and Losers based on performance.
Stockout Prevention: Aims to maintain high product availability (99%+) to improve customer satisfaction.
Forecast Automations: Automates forecasting processes, reducing manual effort and adapting to changes.
Platform Integrations: Connects seamlessly with inventory data platforms (e.g., Cin7).