Peak
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About
Peak provides agentic AI solutions specifically tailored for the retail and manufacturing sectors. Recently acquired by UiPath, the platform enables businesses to deploy autonomous AI agents that predict, decide, and act across core value chain operations. The primary goal is to help enterprises move beyond basic analytics to a state where AI manages complex decisions in real-time, such as adjusting product prices or rebalancing inventory levels to meet fluctuating demand. By integrating these agentic solutions, businesses can achieve a higher level of efficiency where software doesn't just suggest actions but executes them based on defined business objectives. The platform operates through a suite of pre-built yet highly configurable products including Pricing AI, Inventory AI, and Customer AI. For example, the Pricing AI module offers specialized tools like a List Price Optimizer and Markdown management, which use advanced machine learning to find the equilibrium between margin preservation and customer demand. These solutions are designed to integrate with existing enterprise systems, allowing for a connected decision framework. This ensures that a choice made in merchandising automatically considers the impact on fulfillment and supply chain logistics, preventing silos and ensuring that optimizations in one department don't cause friction in another. Peak is built for large-scale retailers and manufacturers that manage extensive product catalogs and complex, high-velocity supply chains. It serves roles such as commercial directors, inventory managers, and data science teams who need to scale their decision-making capabilities without significantly increasing headcount. Because the platform is designed to be deployed in weeks rather than years, it is particularly suited for organizations looking for rapid digital transformation. Companies like The Body Shop and Speedy Hire have used the platform to drive tangible ROI, such as increasing conversion rates and reducing inventory costs while meeting higher demand. What sets Peak apart is its agentic approach, which moves the needle from human-in-the-loop to autonomous action within defined business guardrails. Unlike generic AI tools, Peak offers Your Own AI, which combines the speed of out-of-the-box software with the specificity of bespoke models tailored to a company’s unique data and processes. Its status as an AWS Advanced Technology Partner and its integration into the UiPath ecosystem further distinguish it as a robust, enterprise-grade solution backed by significant infrastructure and automation capabilities.
Pros & Cons
Rapid deployment model delivers value in weeks rather than years.
Supports autonomous agentic actions that predict, decide, and act.
AWS Advanced Technology status with machine learning competency.
Specifically recommended by Gartner for retail unified price optimization.
Highly configurable to the unique data and processes of each business.
No transparent pricing information available without a demo.
Primary focus is limited to retail and manufacturing industries.
Requires significant existing data infrastructure for optimal performance.
Implementation methodology may change following the UiPath acquisition.
Use Cases
Retail merchandisers can automate markdown strategies to maximize profit while effectively clearing seasonal stock.
Manufacturing sales teams can use quote pricing AI to increase win rates and preserve margins during negotiations.
Inventory managers can optimize purchasing and fulfillment to reduce stockouts and lower holding costs.
Commercial directors can consolidate pricing lists across regions to ensure revenue consistency and global profitability.
Marketing teams can optimize promotional campaigns to target customers at the right time and price point.
Platform
Features
• performance analytics
• demand forecasting
• promotions management
• markdown optimization
• erp and system integration
• agentic autonomous decisioning
• quote pricing automation
• list price optimizer
FAQs
How long does it take to deploy Peak's AI solutions?
Peak is designed for rapid implementation, typically seeing deployment in weeks rather than the years often associated with enterprise AI. The platform uses pre-built products that are configured to a company's specific requirements.
Does Peak work with my existing systems?
Yes, the platform is built to integrate seamlessly with existing enterprise systems and data stacks. It is also an AWS Advanced Technology Partner and is explicitly listed as being powered by Snowflake.
What industries does Peak specifically serve?
Peak specializes in providing agentic AI solutions for the retail and manufacturing sectors. Their products focus on optimizing inventory, pricing, and customer interactions within these specific commercial domains.
Is Peak's AI fully autonomous?
Peak offers agentic solutions that can predict, decide, and act autonomously within the parameters set by the business. This allows for superhuman speed in decision-making across the value chain without constant manual intervention.
Is Peak suitable for businesses without a large tech team?
Yes, Peak aims to simplify AI adoption so that companies don't necessarily need a massive in-house technical team. Their data scientists and implementation experts help guide the entire adoption and configuration process.
Pricing Plans
Enterprise (Custom)
Unknown Price• Inventory AI
• Pricing AI
• Customer AI
• Agentic solutions
• AWS Machine Learning support
• System integration
• Bespoke configuration
• Dedicated data science support
Job Opportunities
Account Manager
Optimize inventory and pricing decisions autonomously with agentic AI solutions designed for retail and manufacturing to drive growth and increase profitability.
Benefits:
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Hybrid working model
Responsibilities:
Talk with senior executives about how AI and ML can give them a competitive edge
Solve complex problems within customer businesses
Help pioneer the playbook on how to make AI accessible to every business
Show more details
Enterprise Sales & Overlay Executive
Optimize inventory and pricing decisions autonomously with agentic AI solutions designed for retail and manufacturing to drive growth and increase profitability.
Benefits:
Share options
Hybrid working model
Responsibilities:
Talk with senior executives about how AI and ML can give them a competitive edge
Solve complex problems within customer businesses
Pioneer the playbook on how to make AI accessible to every business
Show more details
Solutions Engineer
Optimize inventory and pricing decisions autonomously with agentic AI solutions designed for retail and manufacturing to drive growth and increase profitability.
Benefits:
Share options
Hybrid working model
Responsibilities:
Solve complex problems within customer businesses
Work with world class professionals in data science and AI
Provide business users and power users with a world-class experience
Show more details
Ratings & Reviews
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