What is QU?

Introducing QU, an innovative business planning instrument crafted to leverage consumer insights in unprecedented ways. Utilizing state-of-the-art machine learning technology, QU gathers real-time data on global consumer demand to forecast purchasing behaviors with exceptional accuracy. This enables businesses to optimize resource management, reshape their comprehension of consumer behavior, improve supply chain planning, and ultimately enhance financial outcomes. So, how does QU function? It allows for the comparison of multiple products across different sales channels within your selected timeframes, delivering precise forecasts for your entire portfolio with just a click. The market insights generated by QU stem from over 90 diverse sources, amalgamating social, search, and macroeconomic data to form a holistic view of consumer trends. This extensive consumer data is carefully segmented and analyzed to evaluate its influence on demand, incorporating sentiment analysis and product tagging for enriched insights. Additionally, QU provides users the flexibility to choose specific performance metrics, allowing forecasting at the SKU and channel level to ensure businesses can adjust their strategies for optimal effectiveness. In a swiftly evolving market landscape, QU not only equips you to stay ahead of competitors but also enables you to make well-informed decisions that drive success. This tool truly represents a significant advancement in business planning methodologies.

Integrations

No integrations listed.

Screenshots and Video

QU Screenshot 1

Company Facts

Company Name:
Quantiful
Company Location:
New Zealand
Company Website:
quantiful.ai

Product Details

Deployment
SaaS

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

QU Categories and Features

Demand Planning Software

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