Merchandising and Planning Solutions from AWS

Improve merchandising decisions and execution through enhanced customer insights, demand forecasting, category management, and store implementation.

Overview

The Autonomous Journey: Transforming Demand Planning in CPG and Retail Supply Chains

Do you want to learn how you can add resiliency to your supply chain so you’re not left flat-footed when the next disruption occurs?

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Improve merchandising decisions and execution

 

Merchandising lies at the core of a retailer’s business. Retailers must plan their assortment, collect and setup product information, buy products from vendors, move products where demand exists, and sell those products with competitive pricing. Technology applied to this process helps ensure profitability.

Benefits

Retail use cases

Price and promotions recommendations

Use price optimization tools to set prices that account for demand, available inventory, margins, competitive prices, and seasonality.

Product information management

Deploy a single centralized platform to collect, manage, govern, and enrich product information and content and share it internally.

Category management

Make accurate and efficient category management decisions to increase profitability.

Forecast a properly stocked future with AWS

AWS can help you understand your particular demand trends and forecast to decrease stockouts, excess inventory, and costs.

Improving Forecast Accuracy with Machine Learning

Generate accurate forecasts from diverse datasets to predict retail inventory demand, supply-chain planning, workforce status, web traffic forecasting, and more.

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Anaplan on AWS

Transform how you see, plan, and run your business. Understand current performance now and predictively forecast what's next for faster, more confident decisions. 

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PEAK

Optimize products across your distribution centers, fulfill demand by ensuring products are allocated to the right location at the lowest cost.

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Key retail partners

  • More

    More Retail Ltd. improved forecast accuracy while reducing food waste and out of stocks.

    More Retail moved forecasting demand to ordering using automated machine learning approach with Amazon Forecast to decrease food spoilage, out of stocks, excess inventory, and costs.

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  • Euclid

    Euclid helps retailers optimize their stores and merchandising activities.

    Euclid analyzes more than 21 million shopping sessions per month to correlate traffic with marketing campaigns and to help retailers optimize hours for peak traffic. Learn how Learn how Euclid collects, processes, and stores up to 30 GB of data per day for over the last three years, while saving 80 to 90 percent using AWS.

    Read the case study | Explore all case studies

  • Shimamura

    Shimamura Music Improves Business with Demand Forecasting and Automated Ordering

    To automate its product order operations, Shimamura Music Co., Ltd. migrated its on-premises demand forecasting system to a cloud-based system that could adjust to future changes in the business environment while still providing reliable, high-quality forecasts. A non-engineering team in the logistics department built an in-house demand forecasting and automated ordering system that improves shortage rates and increases business efficiency using Amazon Forecast.

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  • Coca-Cola

    Coca-Cola Argentina Uses AWS to Speed Store Inventory Orders and Product Delivery

    As one of the largest Coca-Cola distributors, the company built an app to better serve traditional small neighborhood businesses to order product. Using a wide array of AWS services, Coca-Cola Argentina launched the Wabi app and now retailer customers receive product delivers in 15 minutes.

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  • Baba’s

    Baba’s Keeps Its Spices Fresh with Real-Time Data from SAP on AWS

    Baba’s integrated and automated in-store product ordering for their retail customers on one platform with SAP on AWS, cutting order processing and delivery times by 50 percent.

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Customer stories

  • Anaplan

    Anaplan is a market-leading, cloud-native enterprise SaaS company that offers solutions that help retailers see, plan, and run their businesses. Using their proprietary AI/ML technology, Anaplan lets retailers contextualize real-time performance, and forecast future outcomes for faster, confident decisions.

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  • Algonomy

    Algonomy is a global leader in algorithmic customer engagement powering digital first strategies for retailers. Algonomy provides a dependable AI-powered cloud data and analytics platform dedicated to driving customer’s success.

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  • Aptos

    Aptos is one of the largest providers of enterprise software focused exclusively on retail. Aptos offers omnichannel solutions to help retail brands effectively adapt to change and create experiences that enhance their unique brand promise.

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  • SAP

    SAP helps companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition.

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  • o9

    o9 is the premier AI-powered platform for driving digital transformations of integrated planning and operations capabilities.

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  • Peak

    Peak's AI Decision Intelligence platform brings AI into the core of retail businesses, helping companies optimize processes and power performance across the retail value chain.

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