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Forecasting Demand
Transform demand forecasting with Workcloud Forecasting & Analysis software, leveraging predictive analytics and AI-driven insights. Empower retailers and CPG companies to accurately anticipate consumer trends, streamline demand planning and accelerate growth. Access AI and machine learning technologies to achieve precise demand forecasts for maximum efficiency and profitability.
Software Resources for Demand Forecasting & Analysis
- Workcloud Enterprise Forecasting
- Workcloud Demand Analysis
- Workcloud Modeling Studio
Demand Forecasting for Retail and Consumer Products Companies
Analyze all factors affecting demand to determine real-time product needs. Generate accurate demand forecasts for all products, streamlining planning and decision-making.
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Leverage AI for Forecasting Demand
Leverage AI-constructed models to identify relevant demand drivers, generating accurate demand forecasts for all types of products, including new, slow-moving and end-of-life items. This continuous learning and self-tuning process streamlines demand planning and supports optimal decision-making.
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Unify Demand Forecasting Inputs
Integrate key demand drivers like price elasticity, promotions, trends, seasonality and event data to create a cohesive demand signal. Leverage our tool to generate accurate demand forecasts tailored to organizational needs.
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Streamline Demand Forecasting Integration
Align sales planning, demand forecasting and fulfillment planning to reduce inefficiencies and conflicts from siloed planning processes. Enhance inventory management by accurately forecasting store and online demand from a unified omnichannel approach.
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Optimize Forecasting Demand Dynamically
Use advanced demand forecasting libraries and AI/ML models to meet specific retail and CPG needs. Manage data sparsity, fringe sizes, new items and unit minimums to ensure accurate demand forecasts in complex environments.
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Optimize Demand Forecasting and Pricing
Deliver forecasting and pricing results with easy integration into Zebra Workcloud solutions or existing ERP systems. This cloud-based, scalable demand forecasting software processes data and considers factors like seasonality, product lifecycle, market trends and local events.
Drive Forecast Accuracy with AI-Powered Demand Analysis
Improve your demand planning with precise forecasts. Workcloud Demand Analysis utilizes AI and machine learning to help businesses anticipate demand, understand influencing factors and make informed decisions based on accurate forecasts. Integrated AI supports collaboration, decision-making and troubleshooting, identifying areas that require focus.
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Automate Routine, Focus on Demand Variability
Use AI-driven alerts and recommendations to automatically manage routine tasks, allowing demand planners to concentrate on areas where demand variabilities and anomalies are identified through demand analysis. This enhances exception-driven efficiency, optimizing planners’ time and expertise for quicker and more accurate decisions.
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Optimize with Demand Driver Analysis
Gain control with a comprehensive view of demand and its influencing factors. The user-friendly interface lets demand planners adjust demand drivers, add events like holidays and promotions and automate the breakdown of edits for detailed and adaptable demand analysis.
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Analyze Demand Using Key Scenarios
Improve collaboration and decision-making with tools for quick drill-downs, tagging and easy overrides. Demand planners can conduct demand analysis and simulate various scenarios based on key demand drivers, supporting strategic planning and better customer relationships.
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Streamline Planning with Detailed Analysis
Provide support for each stage of the planning cycle, including pre-cycle forecast validation, outlier correction, in-cycle demand analysis, simulations, scenario analysis and post-cycle performance review. This support helps reduce cycle time and improve planning accuracy.
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Unlock Productivity Gains with Demand Analysis
Achieve up to 60% increase in planner productivity and as low as a 30% decrease in time spent on demand planning. Demand Analysis automates routine tasks, enabling demand planners to concentrate on high-value activities, manage more categories effectively and reach consensus faster across the organization.
Accelerated Machine Learning Model for Improved Demand Forecasting and Analysis
Workcloud Modeling Studio provides a low-code/no-code interface that allows both novice and expert data scientists to quickly build, deploy and customize machine learning models for the Retail and Consumer Products sector. With pre-built algorithms and pipelines for tasks like demand forecasting and inventory planning, it speeds up AI experimentation and improves collaboration between data science teams and business units.
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Accelerate Machine Learning Model Deployment
Speed up machine learning experimentation and model deployment from months to days. This process enables data scientists and machine learning engineers to efficiently prepare data, train models and deploy them into production, improving productivity and fostering innovation.
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Simplify Data Science with Low-Code Platform
Make data science and AI accessible to a wider audience, including non-technical users. The platform’s low-code/no-code interface allows users to easily create and deploy machine learning models, facilitating access to advanced analytics throughout the organization.
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Leverage Pre-Built AI Forecasting Algorithms
Use pre-built AI forecasting algorithms and pipelines to enhance demand forecasting for Retail and Consumer Products. These machine learning models are ready to deploy, providing accuracy and minimizing the need for custom development, enabling teams to focus on fine-tuning and implementation.
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Seamless Integration and Scalability
Integrate easily with Zebra Workcloud solutions or other ERP systems. The cloud-native platform supports scalable processing, allowing it to manage large data and complex machine learning tasks efficiently. This enhances demand forecasting by improving accuracy and responsiveness to market changes.
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Optimize Operations Using a Managed SaaS Platform
Use a managed SaaS environment to streamline the building, scaling and maintenance of AI infrastructure. This allows teams to concentrate on strategic tasks, enhancing AI-driven solutions for improved demand intelligence and more accurate demand forecasting.
