Sold by: Nextuple Inc.Â
Deployed on AWS
ML-powered Dynamic Safety Stock Optimization auto-adjusts inventory buffers in real-time, preventing stockouts & overstocking.
Overview
Keep your supply chain resilient and cost-effective with our Dynamic Safety Stock Forecasting Algorithm. This AI-driven solution automatically adjusts safety stock in real time by analyzing demand trends, supplier lead times, and seasonal patterns—helping retailers, grocers and B2B distributors prevent stockouts and minimize excess inventory. Unlike rigid, rule-based methods, our continuously learning approach adapts to changing market conditions, ensuring you always have the right products available without tying up unnecessary capital.
Highlights
- **Key Features** 1. Real-Time Adjustments to stock levels based on demand shifts. 2. AI-Powered Forecasting for accurate stock optimization. 3. Multi-Node Optimization for distributed fulfillment networks. 4. Seamless AWS SageMaker Deployment for easy integration. 5. Ideal for retail, grocery, and B2B supply chains, this solution minimizes holding costs while maintaining high service levels.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $0.115 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $0.115 |
ml.m5.4xlarge Training Recommended | Algorithm training on the ml.m5.4xlarge instance type | $2.00 |
Vendor refund policy
Effective Date: Mar 7, 2025
All purchases of the ML-Powered Dynamic Safety Stock Optimization software on AWS SageMaker Marketplace are non-refundable, except for:
Duplicate Charges – If you were billed multiple times, we will issue a refund. Technical Issues – If the software fails to function as described and remains unresolved for 10 business days, a refund may be granted. Unauthorized Charges – Report fraudulent transactions to AWS Marketplace Support immediately. Refunds are processed within 10-15 business days upon approval. Contact support@nextuple.com for assistance.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Initial Release
Additional details
Inputs
- Summary
For Ensemble Mode, input data is stored in S3://your-bucket/data/ and includes:
pos/ (sales trends, timestamps) online/ (e-commerce sales, demand patterns) Article data/ (SKU details, shelf life, replenishment rules) Hierarchy Data/ (product categorization, business logic)
For Forecast Mode, an additional pickle_data location contains model.tar.gz which was the Ensemble output, holding pickle files that store the selected algorithm for each item-node combo, used for forecasting.
Transaction_ID SKU Store_ID Quantity Sales_Amount Timestamp
TXN001 1001 S001 2 20.00 2024-03-07 10:15:00
TXN002 1002 S002 1 15.00 2024-03-07 11:30:00
TXN003 1003 S001 3 45.00 2024-03-07 14:00:00
https://nextuple.com
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
sku | Item ID that was sold | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
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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