Intelligence. Insight. Innovation.
Transform your demand planning with AI-driven insights. Empowering retailers and CPG companies to anticipate consumer trends, streamline planning, and drive growth. Leverage cutting-edge AI and machine learning technologies to achieve precise forecasts and optimize your operations.
Software Resources
- Workcloud Enterprise Forecasting
- Workcloud Demand Analysis
- Workcloud Modeling Studio
Comprehensive and Accurate Demand Forecasting for Retail and Consumer Products Companies
Analyze all factors affecting demand to determine real-time product needs. This tool generates accurate forecasts for all products, streamlining planning and decision-making.
-
Unmatched Forecast Accuracy
Leverage AI-constructed models to identify relevant demand drivers, generating highly accurate forecasts for all types of products, including new, slow-moving, and end-of-life items. This continuous learning and self-tuning process streamlines planning and supports optimal decision-making.
-
Unified Demand Signal
Achieve a cohesive demand signal by integrating all impactful demand drivers such as price elasticity, promotional lifts, trends, seasonality, and event data. This unified approach ensures a comprehensive forecast at the necessary time and granularity for various organizational processes.
-
Omnichannel Integration
Create a seamless connection between sales planning, demand planning, and fulfillment operations. Eliminate inefficiencies and conflicts caused by siloed planning processes, ensuring maximum inventory efficiency by predicting both store and online demand from a unified perspective.
-
Dynamic Forecasting Capabilities
Employ advanced forecasting libraries and AI/ML models to address specific retail and CPG needs. Handle data sparsity, fringe sizes, new items, and unit minimums, ensuring accurate and adaptable forecasts even in complex environments.
-
Seamless and Scalable Integration
Deliver forecasting and pricing results through simplified solution integration, compatible with other Zebra Workcloud solutions or existing ERP systems. Built natively in the cloud, this scalable system processes extensive data, accounting for every demand driver including seasonality, product lifecycle, trends, and local events.
Enhanced Planner Efficiency and Decision-Making in Demand Variability
Improve your demand planning with precise forecasts. Seamlessly embedded AI helps with collaboration, decision-making, and troubleshooting, highlighting areas that need special attention.
-
Exception-Driven Efficiency
Utilize AI-driven alerts and recommendations to handle routine and low-touch areas automatically, allowing planners to focus on high-touch reviews where anomalies are detected. This approach optimizes the time and expertise of planners, enabling faster and more accurate decision-making.
-
Comprehensive Demand Driver Analysis
Gain control with a multi-dimensional, time-series view of demand and all influencing factors. The intuitive user interface allows planners to adjust demand drivers, introduce new events like holidays and promotions, and automate the disaggregation of edits, ensuring a detailed and adaptable demand analysis.
-
Seamless Collaboration and Scenario Analysis
Facilitate better collaboration and decision-making with tools that support rapid drill-downs, tagging, and easy overriding. Planners can simulate different “what-if” scenarios considering all critical demand drivers, allowing for strategic planning and improved customer relationships.
-
Streamlined Planning Cycle
Support every stage of the planning cycle—from pre-cycle forecast validation and outlier correction to in-cycle demand driver analysis, simulations, and scenario analysis, through to post-cycle deep-dive analysis and performance review. This comprehensive support reduces cycle time and enhances planning accuracy.
-
Significant Productivity Gains
Achieve up to a 60% improvement in planner productivity and a 30% reduction in time spent on demand planning. By automating routine tasks and focusing human expertise on high-value activities, the solution allows planners to manage more categories effectively and reach consensus faster across the organization.
Accelerated Machine Learning Model Development and Deployment
A user-friendly platform for data scientists to create and deploy machine learning models. Easily scalable, it speeds up AI experimentation and brings data science benefits to more users.
-
Rapid Experimentation and Deployment
Increase the speed of machine learning experimentation and model deployment from months to days. This streamlined process allows data scientists and ML engineers to prepare data, train models, and push them into production swiftly, enhancing overall productivity and innovation.
-
Democratized Data Science
Enable a broader range of users, including less technical experts, to leverage data science and AI. The platform’s low-code/no-code interface simplifies the creation and deployment of machine learning models, making advanced analytics accessible across the organization.
-
Pre-Built Algorithms and Pipelines
Utilize pre-built, battle-tested AI forecasting algorithms and end-to-end solutions tailored for Retail and Consumer Products. These ready-to-deploy models ensure high accuracy and reduce the need for extensive custom development, allowing teams to focus on fine-tuning and adoption.
-
Seamless Integration and Scalability
Integrate seamlessly with existing Zebra Workcloud solutions or other ERP systems. The cloud-native platform supports scalable distributed processing, ensuring it can handle extensive data and complex machine learning tasks without straining internal resources.
-
Enhanced Operational Efficiency
Leverage a fully managed SaaS environment to save time, energy, and resources on building, scaling, and maintaining AI infrastructure. This operational efficiency allows internal teams to concentrate on strategic tasks, driving more impactful AI-driven solutions.
