Seeloz SCAS
Demand and Inventory Planning are core processes in traditional Supply Chain Management SCMs. Traditionally human-intensive, Demand Planning typically results in inaccurate and outdated forecasts even when driven by advanced statistical and machine learning techniques. Managing inventory through Operations-Research-based optimization techniques frequently results in inaccurate inventory parameter setting, often resulting in costly delays and amplified errors. Building on comprehensive correlation of past supply chain demand, inventory and supply, AP&I derives hundreds of millions of potential supply chain scenarios. By evolving to make continuously improved replenishment decisions, it drives competitive advantages throughout the supply chain.
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SAP Integrated Business Planning (IBP)
Ensure business continuity in times of supply chain disruption by synchronizing supply chain planning in real time, from S&OP to inventory supply planning, with SAP IBP. Meet future demand profitably with SAP Integrated Business Planning for Supply Chain (SAP IBP). Powered by SAP HANA in-memory technology, this cloud-based solution combines sales and operations planning (S&OP), forecasting and demand, response and supply, demand-driven replenishment, and inventory planning. Take advantage of powerful supply chain analytics, what-if simulations, alerts, and more to stay ahead of change and improve responsiveness. It provides automated, tightly coordinated supply chain planning processes, advanced machine learning algorithms and planning capabilities, and native integration with SAP Supply Chain Control Tower and other solutions.
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MLmargin
Optimize your inventory. MLmargin is an AI powered software that takes the guesswork out of Supply Chain Management by providing demand forecasting and replenishment recommendation. By using MLmargin you will reduce stock-outs and over-stocks. It uses two models: 1st: Demand forecasting: Machine learning models will use your sales data to provide daily, weekly or monthly demand prediction for each SKU. 2nd: Purchasing optimization: Optimization models will combine the demand forecast, lead times, storage cost and sales price for a perfect replenishment decision. You will receive decision support for perfect order quantity for each item. You will reduce the inventory inefficiencies, deliver faster and increase the customer satisfaction.
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GAINS
At GAINS, our quest is to democratize supply chain planning. The GAINS Supply Chain Performance Optimization Platform helps businesses large and small Move Forward Faster with greater agility, resilience, confidence, and sustainability. The GAINS AI-driven cloud platform delivers continuous cost and profit optimization via machine learning, proven algorithms, and actionable analytics for global manufacturing, distribution, retail, and service parts/maintenance operations. Innovative design combined with the GAINS Proven-Path-to-Performance (P3)SM methodology enables rapid onboarding and tangible results, including increased sales, inventory turns, and service levels at reduced operating costs in as little as 8 weeks. GAINS proudly provides digital supply chain planning expertise to industry leaders like Graybar, Honda Motors, Menards, Rockwell Automation, Stuller, and Textron Aviation.
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