Sold by: Quantiful
QU is built on leading edge AI tech, when combined with Machine learning algorithms provides a state-of-the-art AI capability. QU synthesises millions of data points allowing it to predict future buying behavior then uses this insight to adjust forecasts right down to individual product level (sku)
Overview
QU is built on AWS and leverages leading-edge AI technologies which when combined with QU's proprietary Machine learning algorithms affords a highly secure, state-of-the-art AI capability. QU synthesizes millions of data points from hundreds of sources allowing it to predict future buying behaviour then uses this insight to adjust forecasts of future sales right down to individual product level (SKU). QU AI forecasts are illustrated to planning teams for performance and exception management before release to ERP. More accurate forecasts mean stock levels can be lowered with confidence while maintaining or improving availability.QU is built on leading-edge AI technologies which when combined with Machine learning algorithms provides a state-of-the-art AI capability. QU synthesizes millions of data points from hundreds of sources allowing it to predict future buying behaviour then uses this insight to adjust forecasts of future sales right down to individual product level (SKU).
Highlights
- Leading edge AI technologies & ML Algorithms
- Millions of data points from hundreds of sources to create the most accurate forecast of demand
- SaaS Element to illustrate the planning process and performance of the forecast
Details
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Financing for AWS Marketplace purchases
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/month |
|---|---|---|
Quantiful - QU | 1000 SKU's / Products. Forecast Outputs Only. | $5,000.00 |
Dimensions summary
This listing has one pricing dimension based on units. You buy capacity in blocks of 1,000 SKUs or products, and you receive forecast outputs only. Pricing is sold as a contract commitment. Your cost scales with the number of SKUs you plan for, so larger product catalogs require more units. To forecast more than 1,000 SKUs, you add more of the same unit. Because there is only one dimension, there are no separate tiers or add-on options to choose from.
Top-of-mind questions for buyers
A unit covers one SKU, meaning one product you plan for. You buy capacity in blocks of 1,000 SKUs. The platform generates bottom-up forecasts at the SKU-location level, so a single product tracked across multiple stores still counts as one SKU toward your unit total.
You add more of the same unit. Each block covers another 1,000 SKUs. The platform is built to scale and can process forecasts for large product catalogs, so your cost grows in step with the number of SKUs you plan for.
You receive forecast outputs only. The platform generates SKU-location-level forecasts and exports them back to your systems in standard file formats like .csv or .xls. Data integration and setup are part of onboarding, but the priced unit itself covers forecast outputs for your SKUs.
quantiful.ai
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Vendor refund policy
As a standard practice Quantiful will not refund money. However in extreme cases deemed so by Quantiful a consideration may be made to review a request for a refund.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Quantiful Team provides expert general and customized support including documentation, email and phone support. We will respond to any query within 24 hours. support@quantiful.co.nz
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Machine Learning Algorithms
Proprietary machine learning algorithms combined with leading-edge AI technologies for demand forecasting
Multi-Source Data Integration
Synthesis of millions of data points from hundreds of sources to generate demand predictions
Granular Forecast Capability
Forecast adjustment capability at individual product level (SKU) based on predicted buying behavior
Performance Visualization and Management
SaaS-based interface for illustrating planning process, performance metrics, and exception management of forecasts
ERP Integration
Forecast release capability to enterprise resource planning systems after performance review
Model-Driven Architecture
Uses model-driven architecture to abstract complexity of ML pipelines, data integrations, and application logic for faster AI application deployment
Data Integration and Management
Ingests and manages multiple data sources from internal and external systems to generate predictive insights
Entity and Context Extraction
Identifies, extracts, and manages entities and contextual data for enhanced AI model training and inference
AWS Service Integration
Integrates with Amazon EKS, RDS, Bedrock, and SageMaker for ML model building and deployment at scale
Low-Code AI Application Development
Composable builder for constructing predictive, generative, and agentic workflows without extensive manual coding
Model and Workflow Governance
Built-in capabilities to secure, audit, and monitor models, prompts, and workflows throughout their lifecycle
Multi-Modal Model Training
Support for training across multiple data types and model architectures for both LLM and classical ML workloads
Flexible Deployment Options
Support for SaaS, Dedicated Managed AI Cloud, or self-managed deployment within customer VPC
AI-Ready Data Pipelines
Automated data preparation and pipeline orchestration optimized for reducing time-to-value in AI projects
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