Product Lifecycle Management NRF 2019 Lifecycle... · NRF 2019 Product Lifecycle Management....

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NRF 2019 Product Lifecycle Management

Transcript of Product Lifecycle Management NRF 2019 Lifecycle... · NRF 2019 Product Lifecycle Management....

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NRF 2019Product Lifecycle Management

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Explore Demand Forecasting with Google Cloud

Demand Forecasting with Google Cloud

Let’s get started

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AutoML Forecasting for Retail

Demand Forecasting with Google Cloud

Core Benefits

Make smart decisions by really understanding customer demand

Always have the right amount of stock, regardless of the seasonal fluctuations

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Core Benefits

Make smart decisions by really understanding customer demand

Always have the right amount of stock, regardless of the seasonal fluctuations

Provides the ability to include unstructured data sets into your model, allowing you to to make adjustments with ease.

Flexible Structure

Demand Forecasting with Google Cloud

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Core Benefits

Make smart decisions by really understanding customer demand

Always have the right amount of stock, regardless of the seasonal fluctuations

Leverage Google’s understanding of market trends to augment your existing datasets and better forecast for future demand.

Google Data

Demand Forecasting with Google Cloud

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Core Benefits

Make smart decisions by really understanding customer demand

Always have the right amount of stock, regardless of the seasonal fluctuations

Powered by Machine Learning

Machine Learning-enabled solution to get even more accurate results over time by understanding historical trends to predict future demands

Demand Forecasting with Google Cloud

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Challenges

Abundance of new data. Existing models are not flexible enough to easily accept new signals (structured, semi-structured, unstructured)

Changing dynamics of retail. Retail is increasingly event driven with shorter product life-cycles and greater focus on discount/offer driven demand

External Market Forces drive demand for retailer’s products

Easily add new signals: Add new predictive signals to the forecast and understand the impact it has on performance.

More capable models: Provide a forecast model that can deal with new product introductions, short sales cycles, elasticity of offers/prices and more.

Google Data: Leverage Google’s understanding of market trends to augment the retailer’s datasets and better forecast for future demand.

Key benefits

Demand Forecasting with Google Cloud

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"Our work withGoogle Cloud has gone well beyond demand forecasting; it’s fundamentally changed the way we work together.”

- Tadashi Yanai, FAST RETAILING co.,LTD. Chairman, President and CEO Ask us how demand

forecasting can work for you.

Demand Forecasting with Google Cloud

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Explore Demand Forecasting with Google Cloud

Demand Forecasting with Google Cloud

Let’s get started

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We can help address your unique challenges:

● Understanding your datasets ● Integrating your data into one platform ● Using AI and machine learning to analyze product

performance

Ask us how we can help you get started.

Get started - Demand Forecasting with Google Cloud