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Software used to analyze trends and predict demand for products and services. - Analyze past product demands, economic trends, and risk scenarios - Extract key metrics and actionable insights to optimize supply chain and inventory management - Reduce data errors, biases, and profit loss with improved forecasting
163 results
Usee – Accuracy Guaranteed Forecasting Service. The solution is built according to data-driven analysis, combining multiple data sources inside and outside the enterprise to provide demand forecasting with better accuracy; thereby helping businesses minimize unexpected incidents that lead to loss of revenue or an unnecessary increase in operating costs.
Manhattan Active® Supply Chain Planning is a cloud-native, microservices-based supply chain planning solution that unifies demand forecasting, replenishment, and allocation on a single platform. It also unifies planning with execution, helping organizations continuously align inventory, labor, distribution, and transportation to real-world demand. Hybrid AI forecasting combines machine learning, statistical models, and internal and external signals to improve forecast accuracy, reduce stockouts and overstocks, and support faster, more confident decisions. The result is a more agile, responsive supply chain with lower costs, better service, and stronger customer experiences across channels.
With Algo Demand Planning, planners don’t have to rely on guesswork, and they spend less time manually managing spreadsheets. Our solution maximizes visibility at multiple levels and timescales, which improves your planning processes across Merchandising, Operations, and Supply Planning. Algo’s proprietary machine learning models generate forecasts of unparalleled accuracy and fidelity. Performance is monitored automatically, and alternative methods are tested to ensure maximum accuracy. Our supply chain professionals work with you to identify the right internal and external data to use for sensing your organization’s short- and long-term demand.
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AI-native AssortSmart optimizes localized store and channel assortments with precision, optimizing depth and breadth to drive higher inventory turns, boost gross margins, and significantly reduce markdowns. 1. ML-driven intelligent clustering to enhance customer-centric decisions and localization. 2. Strategic choice count recommendations to optimize assortments and maximize revenue. 3. Forecast-driven carryover projections and planning. 4. Attribute analysis and automated placeholder recommendations for better product setup. 5. AI/ML-powered new product forecasting delivering accurate and data-driven predictions. 6. Initial placeholder images generated using computer vision for faster product creation.
RELEX Demand Planning software helps retailers and manufacturers accurately forecast demand to improve planning across merchandising, supply chain, and operations. The RELEX platform removes siloed planning and takes into account all demand drivers, enabling more informed decisions and faster responses to changes in demand. By aligning teams on a shared forecast, organizations can reduce inventory holding costs and spoilage levels while improving service levels. Machine learning-based forecasting supports new product introductions, seasonal changes, promotions, and forecast discrepancies through automated and exception-based workflows. Planners gain visibility into the factors that impact forecasts and can use probabilistic planning to account for uncertainty. RELEX Demand Planning integrates with existing systems and supports flexible deployment, allowing organizations to adapt to changing business requirements without replacing current infrastructure.
AI-native InventorySmart automates allocation and replenishment processes while delivering precise supply chain forecasts with unmatched speed and efficiency. 1. Automated allocation and replenishment for all products across the entire lifecycle. 2. Automated DC replenishment with intelligent vendor ordering to ensure stock accuracy. 3. Supports DC-to-DC and store-to-store transfers for balanced inventory distribution. 4. AI/ML forecast precision using dynamic best-fit modeling for every product, channel, and location. 5. Configurable dashboards, alerts, and reports enable an efficient, exception-driven flow. 6. Automated style chaining for seamless and accurate new product introductions across channels and locations.
AI-native demand planning and forecasting engine ForecastSmart leverages advanced machine learning to deliver exceptionally accurate forecasts for SKUs across stores, styles, and hierarchy levels, ensuring precision throughout the product lifecycle. 1. Evaluates over 1M AI and ML model constructs, dynamically selecting the best-fit model. 2. Exception-based workflows for forecast management, backed by explainable drivers and reason-based alerts. 3. Performs strongly even in volatile, low-volume categories and challenging environments. 4. AI-based causal inferencing, outlier detection, and business logic bias corrections. 5. End-to-end automation and seamless integration for faster, more efficient forecasting. 6. Integrates internal, external, and hyperlocal drivers for more accurate demand forecasts.