Sold by: Dedicatted
For retailers, distributors and consumer goods brands carrying too much of the wrong stock and too little of the right stock, because replenishment rules have not kept up with demand. Dedicatted assesses your inventory policy against sales and supply data and pilots optimization with machine learning models on Amazon SageMaker AI: safety stock and reorder points by SKU and location, demand signals from your forecasts, and a generative AI planner assistant on Amazon Bedrock that explains each recommendation.
Overview
Who this is for
Retailers, wholesalers, distributors and consumer goods brands in Canada, the United States and Europe with thousands of SKUs across stores, warehouses or channels, and planners working from spreadsheets and static rules. The buyer is the VP Supply Chain, Head of Planning or CFO.
The problem
Static safety stock and reorder rules ignore demand variability and supplier lead times, so slow movers pile up while best sellers stock out. Planners override the system by hand, and nobody can show what the right inventory level is for each SKU and location.
What we deliver
Assessment. We analyze sales, inventory, lead times and service levels by SKU and location, find where stock is too high or too low, and size the opportunity in your own data.
Optimization pilot. Safety stock and reorder point models on Amazon SageMaker AI for a pilot category, using demand signals from your existing forecasts, with simulations against past seasons.
Planner assistant. An assistant on Amazon Bedrock explains each recommendation, the drivers behind it and the trade-off against service level, so planners can accept or adjust it with confidence.
Roadmap. A rollout plan for further categories and the integration path to your ERP or planning system.
For building the demand forecast itself, see Retail Demand Forecasting on Amazon SageMaker and Bedrock by Dedicatted.
AWS services integrated
Amazon SageMaker AI, Amazon Bedrock, Amazon S3, AWS Glue, Amazon Athena, Amazon Quick Sight and AWS Lambda.
Outcomes
- A clear view of where stock is too high or too low, by SKU and location.
- Safety stock and reorder points set from data and tested against past seasons.
- Planners see why each recommendation was made.
- A rollout plan for further categories.
Evidence
Dedicatted holds the AWS Retail Consulting and Consumer Goods Services Competencies and the AWS AI Services Competency.
Where we deliver
Dedicatted is an AWS Premier Tier Services Partner and AWS Managed Service Provider headquartered in Toronto and Montreal, Canada. It is the first Canadian partner to hold both AWS AI Competencies (Generative AI and Agentic AI) and the first and only Canadian AWS Partner to hold the AWS Digital Sovereignty Services Competency. We deliver across Canada, the United States and Europe, in English and French, and support Canadian data residency in the AWS Canada (Central) and Canada West (Calgary) Regions.
AWS infrastructure charges
AWS bills you for SageMaker AI training and inference, Amazon Bedrock, S3, Glue, Athena, Quick Sight and Lambda. We work through IAM roles you create.
Highlights
- Inventory policy built from your data: sales, stock, lead times and service levels analyzed by SKU and location to find where stock is too high or too low, with the opportunity sized in your own data.
- Safety stock and reorder point models on Amazon SageMaker AI piloted on one category and simulated against past seasons, with a planner assistant on Amazon Bedrock that explains each recommendation.
- From an AWS Premier Tier Services Partner with the AWS Retail Consulting and Consumer Goods Services Competencies and the AWS AI Services Competency.
Details
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
Contact
- Email: contact@dedicatted.com
- Contact form: https://dedicatted.com/contact
- Service page: https://dedicatted.com/services/generative-ai/supply-chain
Before you buy
- A scoping call confirms the categories, locations, data sources and planning process in scope, followed by a written scope and a private offer through AWS Marketplace.
During delivery
- A named engagement lead and a shared channel with the engineers doing the work, in English or French.
Response time
- Support requests receive a response within two business days.
After handover
- Models, analysis, the pilot results and the rollout plan stay with your team.