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Description

Stay ahead of your customers’ fluctuating preferences by leveraging precise demand forecasts and stock-out predictions. Our AI-driven platform, Kronoscope, continuously monitors shifts in demand patterns, enabling you to respond rapidly and avoid excess inventory while ensuring that your customers always find what they need. Utilizing a combination of advanced machine learning and deep learning algorithms, Kronoscope automatically creates a tailored model for each SKU across all stores, warehouses, or channels. Our unique algorithms uncover various patterns, such as seasonality, cannibalization, and substitution effects, enhancing the accuracy of our predictions. There is no need for manual adjustments, as the models autonomously retrain to accommodate emerging demand patterns, identify anomalies, and minimize historical fluctuations. Additionally, Kronoscope delivers natural language insights regarding unusual occurrences, key influences on demand changes, and high-impact items, among other valuable information. Furthermore, you can enhance your demand forecasts by modeling the effects of promotions, marketing initiatives, and various other business elements on customer demand. This comprehensive approach ensures that your inventory strategies remain aligned with the latest market trends.

Description

Ensure your top-selling items remain in high demand by maintaining adequate inventory levels that align with customer needs. Free up cash that’s locked in slow-moving or excess stock so you can reinvest in your leading merchandise. Monitor precisely what you need to restock and the optimal timing for reorders, taking into account critical aspects like lead times, out-of-stock durations, seasonality, and more. By having a consolidated overview of all your sales platforms and inventory sites, you can ensure the timely replenishment of the necessary products, no matter where your business operates. Utilize seasonal forecasting techniques for enhanced accuracy in predicting the demand for your seasonal offerings. For products with consistent monthly sales, adopt non-seasonal forecasting and customize your timeframe to analyze sales patterns effectively. Leverage historical stockout data to improve demand predictions, as this method calculates forecasts based on item availability, disregarding periods of unavailability. By implementing these strategies, you can optimize your inventory management and significantly boost your sales performance.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Ordoro
QuickBooks Commerce
ShipBob
Unleashed

Integrations

Ordoro
QuickBooks Commerce
ShipBob
Unleashed

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$99 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fountain9

Founded

2019

Country

India

Website

www.fountain9.com

Vendor Details

Company Name

Inventory Planner by Sage

Founded

2014

Country

France

Website

inventory-planner.com

Product Features

Demand Planning

Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting

Product Features

Inventory Management

Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management

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