AI-powered supply chain planning optimizing demand and inventory
ToolsGroup builds probabilistic planning software for supply chain leaders, replacing rigid deterministic models with AI-driven optimization across demand and supply. The company is actively investing in agentic AI—both as a platform capability and as a core product release—while simultaneously scaling sales (6 open roles) and product teams. The heavy lift on test automation and CI/CD tooling (Selenium, Cypress, Playwright, Jenkins, GitLab) suggests aggressive velocity on agent embedding and reliability as core engineering priorities.
ToolsGroup sells supply chain planning software to mid-market and enterprise operations teams. The platform addresses inventory optimization, demand planning, S&OP, and trade promotions forecasting using probabilistic modeling rather than traditional deterministic approaches. The tech stack spans Salesforce (go-to-market), cloud infrastructure (Azure, AWS, GCP), and data visualization (Tableau, Power BI). The company is actively building agentic AI capabilities for planners and scaling customer onboarding, retention, and upsell motion. Hiring spans 15 open roles with accelerating velocity across sales, product, and engineering, with notable coverage in North America, Europe, and South America.
ToolsGroup uses Salesforce, Tableau, Power BI, Azure, SQL Server, PostgreSQL, Kubernetes, Docker, AWS, GCP, Python, and testing frameworks including Selenium, Cypress, and Playwright. CI/CD is managed via Jenkins and GitLab CI/CD.
Primary focus areas are agentic AI releases for supply chain planners, an agentic development platform, automated test frameworks, CI/CD integration, and customer onboarding and retention. Key pain points include embedding intelligent agents and improving test coverage.
ToolsGroup's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.