Sold by: SiaÂ
We provide data consulting services in Demand Forecasting, utilizing analytics to predict future market demands, optimize inventory management, and enhance supply chain efficiency. To ensure the development of high-performance forecasting models, we can use the most relevant features from the data (e.g., rolling means) and select the appropriate statistical parameters (e.g., Tweedie loss function), considering both retail and time-series specificities.
Overview
Predictive modeling for demand forecasting We develop predictive models to forecast future demand with precision. By incorporating variables such as seasonality, promotional events, and economic indicators, our models generate reliable forecasts across different product categories and geographical regions.
Supply chain & stock optimization From manufacturing to in-store purchase, there are many optimisation areas in the supply chain with a lot of data from various sources (historical data, events, warehouse, pricing…) that can be leveraged to implement AI solutions based on forecasting models following a tried-and-tested methodology, based on 3 pillars:
- Synergizing business and data: accelerating model optimization
- Implementation prioritization through early visualization tool development
- MLOPS: Leveraging MLOPS best practices to accelerate AI solutions deployment at scale
Our success stories:
- AI-powered demand planning tool for the cosmetics industry: We designed, implemented, and managed change for an AI-powered Demand Planning tool as part of a global transformation project, streamlining forecasting across various business functions. Our efforts focused on optimizing processes and organizational structures to maximize the tool's effectiveness.
- Sales forecasting algorithm for a luxury brand: We implemented a sophisticated sales forecasting algorithm tailored to the client's digital department, focusing on improving accuracy and addressing specific challenges. Our project assessed the model's commercial impact, optimizing inventory levels and reducing missed sales to ensure a strong ROI.
- Anticipation of logistics capacity and stocks Our solution forecasts production load and demand patterns. Through seamless integration with production planning systems and supply chain management processes, our AI-powered system empowers the company to proactively manage resources, minimize stockouts, optimize stock levels accordingly, and streamline logistics operations.
We are working on various AWS infrastructures (Bedrock, Q, SageMaker...) and our products rely on AWS services when creating and deploying a platform or a software for a customer.
Highlights
- Accurate Demand Forecasting with Predictive Models: Our predictive models incorporate seasonality, promotions, and economic factors, providing precise demand forecasts across product categories and regions to inform strategic decisions.
- Supply Chain & Stock Optimization with AI: Leveraging data from various supply chain sources, our AI-driven solutions optimize stock levels and streamline logistics, reducing stockouts and enhancing efficiency from manufacturing to purchase.
- Scalable Deployment with MLOps: Through MLOps best practices and early visualization tools, we ensure efficient model deployment and adaptation, accelerating AI implementation at scale for impactful demand planning and resource management.
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