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    21 Day Forecast Challenge from AWS and Peak.ai

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    Sold by: Peak 
    This service will quantify within 21 days the financial opportunity that exists within your business via ML-driven forecasting.
    Listing Thumbnail

    21 Day Forecast Challenge from AWS and Peak.ai

     Info
    Sold by: Peak 

    Overview

    Can Peaks Decision Intelligence system improve your demand forecasting? Put us to the test, for free!

    At Peak, we are passionate about demand forecasting and believe it is one of the fundamental pillars needed for a successful business. That is why we have teamed up with AWS, integrating their powerful Forecast algorithm into CODI, our Decision Intelligence system. This same algorithm sits at the core of Amazons retail and supply chain operations and now you can discover how it can help you and your business.

    We will run your data through the Amazon Forecast algorithm and confirm, within 21 days, just how much we can improve the accuracy of your forecasting. You will receive a bespoke report containing our findings, and we will schedule a video call to walk you through the results and take your questions.

    This is a great first step for using machine learning to help you drive greater efficiency in any of the following areas:

    • Inventory optimization
    • Allocation and assortment
    • Demand and labor planning
    • Warehouse optimization
    • Logistics optimization
    • Distribution resource planning

    To understand if this service is applicable to you and your business, hit the continue button at the top of this page; provide your details and we will be in touch.

    Next steps after signing up

    1. Set up a quick call: We will quickly assess your needs and confirm whether we can help.
    2. Explain what's possible: Capture the scope of work, to get a better understanding of what you are trying to achieve.
    3. Upload your data: We will send over a mutual NDA and a secure data link, so you can upload the data we require access to.
    4. Run Amazon Forecast on Peak: We will run your data through Amazon Forecast on CODI, Peaks Decision Intelligence system, maintaining regular communication with you.
    5. Playback the results within 21 days: You will receive a bespoke report containing our findings, and we will schedule a video call to walk you through the results and take your questions.
    6. Delete your data: Your data will be removed from our AWS cloud infrastructure once you instruct us to do so.

    FAQs

    • How much data do I need to submit? A minimum of 12 months of historical data at a product/SKU level will allow us to confidently run it through Amazon Forecast.

    • What sort of forecasting algorithms will be used on my data? Amazon Forecast uses AutoML(Automated Machine Learning) which automates complex machine learning tasks, such as algorithm selection, hyperparameter tuning, iterative modelling, and model assessment. It evaluates and compares the forecast output of multiple algorithms, and chooses the best one based on the prediction accuracy per datasets.

    • Does my data need to be in a specific format before I can take part? It is not essential but in order for us to return our results within 21 days we would need to receive a target time series data set. This data type defines the target field that you want to generate forecasts for. For example, if you want to forecast the sales for a set of products, then you must create a dataset of historical time-series data for each of the products that you want to forecast. We can provide the details of the mandatory data fields upon request or during our initial call.

    • Will someone be able to explain the results and be challenged on what I am receiving? Yes, we will set up a call with you to walk you through the results. A Peak data scientist will be available on the call to discuss the results in detail.

    • What will the report tell me? The report will confirm how confident we are at predicting demand in your business. We will provide confidence levels and aim to evidence a couple of examples at a product level to further support our results.

    Highlights

    • Release Working Capital: Greater accuracy leads to improved inventory planning and puts an end to speculative ordering. This frees up working capital and ensures fewer write-offs of obsolete inventory.
    • Reduce costs: AI has the potential to reduce forecasting errors by 20-50%. It will also lead to improved workforce planning and reduced waste resulting in higher margins.
    • Improve Efficiencies: AI can remove the guesswork from the process of demand forecasting, taking care of routine tasks and freeing your team to make the strategic decisions that will help your business grow.

    Details

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    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    If you are eligible for the challenge... full support will be offered via email, phone and video calls.

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