Peak review
A broad predictive AI platform for commercial, retail and manufacturing decisions.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Peak is a cloud AI platform for retailers and manufacturers that builds, runs, manages and monitors predictive AI applications. It brings together demand forecasting for products and locations, inventory allocation, replenishment, production planning, pricing, markdowns, promotions and quote pricing. Commercial teams can use dashboards, integrations and APIs to turn customer data and model outputs into predictions, recommendations and automated decisions. It is a strong fit for organizations managing connected planning decisions across inventory, supply and commercial activity.
The three editions scale capacity rather than changing the core product scope. Essentials includes 5 data feeds, 2 Small workspaces, 10 workflows, 500 API calls per day per API, 1 deployed API and up to 1 Peak application deployed. Business raises those allowances to 15 data feeds, 2 Medium workspaces, 25 workflows, 5,000 API calls per day per API, up to 3 deployed APIs and up to 3 deployed Peak applications. Enterprise includes 50 data feeds, 2 Large workspaces, 50 workflows, 50,000 API calls per day per API, and up to 20 deployed APIs and applications. Pricing is contact-sales, so teams should evaluate the edition quotas against their operating scale.
Peak’s platform fit is broad: it supports web and API access, data ingestion and transformation, Data Bridge connectivity, directed acyclic graph workflow orchestration, model training and evaluation, and real-time deployment. Listed integrations include Amazon S3, Amazon Redshift, Snowflake, Braze, Google, HubSpot, Klaviyo, Mailchimp, Meta, Oracle, Salesforce and Shopify. That breadth suits teams connecting forecasts and optimization to commercial systems. Teams outside retail or manufacturing, or those seeking a narrowly focused forecasting tool, may find its scope and deployment structure more than they need. Platinum support provides 24/7 coverage for urgent and high-severity incidents.
Peak pros and cons
- Where it wins
- Covers forecasting, replenishment, production, pricing and promotion optimization
- Supports experimentation, evaluation and real-time API deployment
- Connects with platforms including Snowflake, Salesforce, Shopify and Amazon S3
- Where it doesn't
- Sales-led pricing makes budget comparison less direct
- Deployment, workflow and data-feed quotas vary by edition
- Its retail and manufacturing focus may not suit other operating models
Peak fact sheet, pricing and score →
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