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What is Inventoro?

Inventoro provides advanced AI-driven solutions designed to improve sales forecasting, optimize replenishment, and manage inventory in line with industry benchmarks. Utilizing our platform empowers you to decrease purchasing costs while enhancing sales productivity. By following our expert guidance, you can effectively lower inventory levels, which in turn liberates cash flow for reinvestment in growth initiatives. Furthermore, refining your product portfolio allows you to concentrate on the items that yield the highest profits. Our system also automates the ordering process, drastically reducing the time required for stock replenishment. Consistent product availability not only enhances your business outcomes but also elevates customer satisfaction levels. Moreover, our inventory data integrates effortlessly with various partner platforms, creating a unified experience for users. A collection of advanced algorithms works collaboratively and competitively to provide you with real-time, accurate forecasts tailored to your specific requirements. By blending traditional mathematical methods with cutting-edge deep learning techniques, we empower these algorithms to pursue optimal results, leading to continuous improvements in Inventoro's capabilities. This competitive dynamic among the algorithms fosters relentless innovation, ensuring that your business stays ahead of the curve and well-prepared for future challenges. Ultimately, the combination of efficiency and innovation positions your company for sustained success in a rapidly evolving market.

What is Amazon Forecast?

Amazon Forecast is an all-encompassing service that employs machine learning to deliver highly accurate forecasting results. In the modern business environment, companies turn to a diverse array of tools, ranging from simple spreadsheets to sophisticated financial planning software, in their efforts to predict future events, such as product demand, resource management, and financial outcomes accurately. These forecasting techniques often rely on historical datasets, referred to as time series data, to inform their predictions. For example, a forecasting application might project the future demand for raincoats based solely on previous sales data, under the assumption that upcoming trends will follow the same trajectory as the past. Nonetheless, this approach can fall short when dealing with large datasets that display unpredictable variations, and it often finds it difficult to accommodate changing data series—such as pricing strategies, promotional offers, website traffic, and workforce numbers—alongside relevant independent factors like product attributes and store locations. As a result, organizations may struggle to generate dependable forecasts in ever-changing circumstances influenced by numerous variables impacting demand and resource allocation. This challenge highlights the importance of adopting advanced forecasting solutions that can adapt to complexity and provide more reliable insights.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon S3
Amazon Seller Central
BigCommerce
DEAR Inventory
Exact
Fortnox
Gambio
Maropost
Odoo
PlentyONE
Sellsy
ShipBob
ShipHero
Shopify Plus
Shoplazza
StoreFeeder
Stripe
Unleashed

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon S3
Amazon Seller Central
BigCommerce
DEAR Inventory
Exact
Fortnox
Gambio
Maropost
Odoo
PlentyONE
Sellsy
ShipBob
ShipHero
Shopify Plus
Shoplazza
StoreFeeder
Stripe
Unleashed

API Availability

Has API

API Availability

Has API

Pricing Information

$699 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Inventoro

Company Website

inventoro.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/forecast/

Categories and 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

Sales Forecasting

Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis

Categories and Features

Sales Forecasting

Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis

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