EdgeReduce - AI-Powered Spoilage & Shrink Optimization
ClearScale · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
EdgeReduce is a turnkey AI-powered solution built to help CPG manufacturers, retailers, and distributors predict and prevent product spoilage and shrink across the supply chain without changing existing platforms.
Developed by Xlogix and deployed through AWS by ClearScale, EdgeReduce uses advanced machine learning to deliver SKU-level predictions and prescriptive actions (e.g.,markdowns, reallocation) directly into your current workflows. This Managed Service uses AWS EC2, S3, and Databricks on AWS.
Show the rest of the publisher’s description (21 more lines)
No new software. No retraining. Just results delivered through your existing infrastructure or a secure, hosted environment.
EdgeReduce is designed for operations, supply chain, and finance leaders at companies in:
CPG (Consumer Packaged Goods)
Food & Beverage Manufacturing
Grocery, Club, and Specialty Retail
National and Regional Distributors
Private Equity-backed consumer brands
Organizations experiencing high spoilage, product returns, or aging inventory challenges will see immediate ROI.
**Our 5-Step Delivery Process**
As a Professional Service, we follow a proven 5-step engagement model:
- Plug In: We connect to your existing data (CSVs, APIs, data lakes) with no complex IT lift.
- Predict: Our Amazon SageMaker models identify high-risk SKUs by location and timing.
- Recommend: We generate clear, actionable recommendations (reallocate, markdown, etc.).
- Deliver: Recommendations are sent directly into your existing workflows (email, ERP, task systems).
- Measure: We provide weekly impact tracking to measure margin saved and prove ROI.
**Flexible Deployment Models**
We start with a 30-45 Day Pilot to prove the value on your data. This includes model setup, alert delivery, and impact tracking.
After the pilot, choose your deployment model:
- EdgeReduce™ Native: Deployed into your existing data lake (e.g., Amazon Redshift). No data leaves your environment.
- EdgeReduce™ Boost: We deploy a focused data layer into your AWS account for organizations with siloed data.
- EdgeReduce™ Cloud (SaaS): A fully-hosted model. You send us your data, and we handle the rest.
Highlights
Highlighted by the publisher on AWS Marketplace.
Reduce spoilage, returns, and aging inventory to increase margins through smarter markdowns & reallocations.
Fast, turnkey deployment - no platform switch required.
Integrates with ERP/WMS or runs in a secure hosted cloud.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-11
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.