Also known as: Spherecast Technologies, Agnes
AI-powered supply chain management platform that automates demand forecasting, inventory optimization, and replenishment planning for multi-channel CPG brands.
Multi-channel CPG brands struggle with complex inventory management across diverse sales channels, warehouse locations, and supplier networks, resulting in costly stockouts, overstock situations, and inefficient spreadsheet-based planning processes.
Multi-channel CPG brands struggle with complex inventory management across diverse sales channels, warehouse locations, and supplier networks, resulting in costly stockouts, overstock situations, and inefficient spreadsheet-based planning processes.
Spherecast provides an integrated AI platform combining demand forecasting, replenishment optimization, and inventory visibility with automated supplier communication processing and collaborative team planning capabilities.
Spherecast provides an integrated AI platform combining demand forecasting, replenishment optimization, and inventory visibility with automated supplier communication processing and collaborative team planning capabilities.
Appears active as of February 2026 based on Y Combinator S24 participation and current website operations.
Appears active as of February 2026 based on Y Combinator S24 participation and current website operations.
Spherecast is an AI-driven supply chain management platform designed specifically for consumer packaged goods (CPG) brands operating across multiple sales channels. The platform combines machine learning forecasting, inventory optimization, and automated replenishment planning into a unified system that eliminates manual spreadsheet-based processes and enables data-driven decision-making across supply chain operations.
Multi-channel CPG brands face significant complexity when managing inventory across diverse sales channels, warehouse locations, and supplier networks. As brands expand into marketplaces and offline retail, they encounter rising logistics costs, inventory constraints such as Amazon's low inventory level fees, and expiration date requirements across different sales channels. Supply chain managers traditionally rely on large spreadsheets to track numerous constraints and dependencies, leading to inefficiencies and costly inventory distortion—the combined expense of stockouts and overstock situations.
Spherecast is an AI-driven supply chain management platform designed specifically for consumer packaged goods (CPG) brands operating across multiple sales channels. The platform combines machine learning forecasting, inventory optimization, and automated replenishment planning into a unified system that eliminates manual spreadsheet-based processes and enables data-driven decision-making across supply chain operations.
Multi-channel CPG brands face significant complexity when managing inventory across diverse sales channels, warehouse locations, and supplier networks. As brands expand into marketplaces and offline retail, they encounter rising logistics costs, inventory constraints such as Amazon's low inventory level fees, and expiration date requirements across different sales channels. Supply chain managers traditionally rely on large spreadsheets to track numerous constraints and dependencies, leading to inefficiencies and costly inventory distortion—the combined expense of stockouts and overstock situations.
Software-as-a-Service (SaaS) with subscription pricing and 30-day money-back guarantee
Software-as-a-Service (SaaS) with subscription pricing and 30-day money-back guarantee
Multi-channel consumer packaged goods brands, e-commerce businesses, and omni-channel retailers managing complex supply chains across multiple sales channels and warehouse locations
Multi-channel consumer packaged goods brands, e-commerce businesses, and omni-channel retailers managing complex supply chains across multiple sales channels and warehouse locations
Y Combinator S24 batch participant with active website and ongoing platform development.
Hiring: One open position listed on Clera careers page as of available data.
Y Combinator S24 batch participant with active website and ongoing platform development.
Hiring: One open position listed on Clera careers page as of available data.
Spherecast integrates three primary functions into a single platform. The demand planning module generates machine learning-based forecasts per product and channel while enabling collaborative planning across sales, finance, marketing, and operations teams. The replenishment optimization engine recommends optimal purchase orders and transfer orders by analyzing inventory needs across locations and suppliers before gaps occur. The inventory visibility layer provides real-time insights into future inventory requirements broken down by SKU, location, and raw material, enabling proactive decision-making weeks in advance.
Spherecast integrates three primary functions into a single platform. The demand planning module generates machine learning-based forecasts per product and channel while enabling collaborative planning across sales, finance, marketing, and operations teams. The replenishment optimization engine recommends optimal purchase orders and transfer orders by analyzing inventory needs across locations and suppliers before gaps occur. The inventory visibility layer provides real-time insights into future inventory requirements broken down by SKU, location, and raw material, enabling proactive decision-making weeks in advance.
The platform features an AI agent that continuously monitors supplier communications and automatically processes supply updates without manual data entry. Users can ask complex what-if scenarios in plain English, receiving analysis of demand drops, co-manufacturer delays, and other supply chain disruptions in seconds rather than hours. Every recommendation includes explanations of the underlying logic and requires one-click approval, maintaining human oversight while accelerating decision cycles.
The platform features an AI agent that continuously monitors supplier communications and automatically processes supply updates without manual data entry. Users can ask complex what-if scenarios in plain English, receiving analysis of demand drops, co-manufacturer delays, and other supply chain disruptions in seconds rather than hours. Every recommendation includes explanations of the underlying logic and requires one-click approval, maintaining human oversight while accelerating decision cycles.
Spherecast connects to existing enterprise resource planning systems and data warehouses through dedicated connectors, ensuring seamless data flow regardless of current infrastructure. The implementation process typically takes two to three weeks following a successful sandbox evaluation. The platform replaces traditional spreadsheet-based planning, MRP systems, and demand-planning ERP add-ons, reducing the need for additional headcount while maintaining operational efficiency.
Spherecast connects to existing enterprise resource planning systems and data warehouses through dedicated connectors, ensuring seamless data flow regardless of current infrastructure. The implementation process typically takes two to three weeks following a successful sandbox evaluation. The platform replaces traditional spreadsheet-based planning, MRP systems, and demand-planning ERP add-ons, reducing the need for additional headcount while maintaining operational efficiency.
The platform emphasizes consensus-based planning by generating a single accurate baseline forecast that all stakeholders can adjust within a unified interface. Every input is tracked and can be accepted through the application, creating alignment across teams on a single source of truth. This collaborative approach transforms forecasting from an isolated function into a team sport involving all relevant departments.
The platform emphasizes consensus-based planning by generating a single accurate baseline forecast that all stakeholders can adjust within a unified interface. Every input is tracked and can be accepted through the application, creating alignment across teams on a single source of truth. This collaborative approach transforms forecasting from an isolated function into a team sport involving all relevant departments.
Spherecast tracks improvements in forecast accuracy, reductions in stockouts and write-offs, and enhanced inventory turnover. The platform's automated supply plan generation considers warehouse constraints, co-manufacturer capabilities, and channel dependencies to optimize the entire supply chain simultaneously.
Spherecast tracks improvements in forecast accuracy, reductions in stockouts and write-offs, and enhanced inventory turnover. The platform's automated supply plan generation considers warehouse constraints, co-manufacturer capabilities, and channel dependencies to optimize the entire supply chain simultaneously.
The company operates on a straightforward software-as-a-service pricing model with a 30-day money-back guarantee following onboarding, allowing customers to evaluate the platform risk-free before full commitment.
The company operates on a straightforward software-as-a-service pricing model with a 30-day money-back guarantee following onboarding, allowing customers to evaluate the platform risk-free before full commitment.
