Lokad vs Oracle Supply Chain Planning

Lokad is a supply chain decision platform that uses predictive analytics and optimization to guide purchasing, allocation, pricing and prioritization. Its probabilistic forecasts represent possible future scenarios, and it links recommendations to financial impact and business objectives. Lokad automates routine calculations such as reorder quantities, multi-echelon allocations, lead-time adjustments and repair schedules. Users can build decision-generating applications in Envision, Lokad’s supply-chain-focused programming language. The recommended data exchange is file transfer by FTPS or SFTP, with options to push or pull files; native integrations with third-party apps are being phased out. Lokad serves industries including retail, aerospace, automotive, fashion, oil and gas, and manufacturing. The platform runs on the web, and a managed subscription typically includes end-to-end support from one or more Supply Chain Scientists. Pricing is on request. A free trial can be requested by email, and the reduced Envision Playground is available without registration. Lokad was founded in Paris in 2008.

Oracle Supply Chain Planning aligns product, demand, supply, workforce, and sales plans with operational and financial objectives. Its modules include Demand Management, Supply Planning, Sales and Operations Planning, and Supply Chain Collaboration. Demand tools cover sensing, forecasting, segmentation, replenishment, scenario simulation, and collaboration. Supply planning includes production scheduling, backlog management, and global demand, supply, and capacity planning. Built-in machine learning and AI can forecast demand, summarize issues, and guide resolution workflows. Collaboration supports forecast and order commitments with suppliers, distributors, contract manufacturers, and other partners. Analytics compare up to four plans side by side and provide filtering, pivot tables, and configurable pages. Access can be configured by organizational or product structure, sales organization, trading partner, or measure group. Before plans run, data must be loaded into the planning repository. It is a paid cloud service with pricing on request.