Demand forecasting mistakes in the retail industry

Dec 27, 2018  |  4 min read

Consumer goods companies rely on forecasts to support inventory planning and distribution across their sales channels. Building accurate demand forecasts requires more than just an understanding of the latest machine learning techniques; it also requires the right data and an understanding of the potential costs of incorrect estimates.

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Shared supply chain control towers: Key features and considerations

Dec 20, 2018  |  3 min read

As we join the year end recap bonanza, we can’t miss one of our highlights of 2018: a joint Professional Development Event with the APICS Golden Gate chapter. We welcomed members and guests to our San Francisco office in November to discuss “Implementing a Shared Supply Chain Control Tower."

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Webinar recap: Uses and best practices for end-customer demand

Dec 5, 2018  |  3 min read

In October, Alloy was a featured guest on a webinar hosted by APICS Atlanta and Supply Chain Now Radio, “The Power of Connecting to End-Customer Demand.” Through the presentation and Q&A, we defined downstream demand, why it’s important, and how brands can efficiently use this data to their advantage. You can find the full recording of the webinar here, but here’s a quick summary of the key points

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Choosing the “right” demand forecasting model

Nov 28, 2018  |  5 min read

When building demand forecasts for consumer goods, there’s a variety of algorithms you can use, from longstanding best practices to cutting-edge methodologies. While each have their pros and cons, at their core, every method is ultimately using historical data to try to predict future demand. The complexity, assumptions, and types of data inputs used in a given model type — and how they are weighted — will vary, but the basic ingredients are similar across the board.

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How execs can better understand forecasts to inform decision-making

Nov 8, 2018  |  7 min read

More accurate demand forecasts, powered by big data and machine learning, can generate millions in additional revenue for brands.

In our forecasting white paper, we shared the three principles of modern forecasting: use an integrated approach, keep the methodology transparent, and make results actionable. In this blog post, we’ll discuss why the second principle, keeping methodology transparent, is especially important as executives look to make decisions based on demand forecasts.

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Case study: Increasing efficiency and improving collaboration

Nov 1, 2018  |  2 min read

Many of the brands we work with have a vision for how they want to use sales and supply chain insights to react with agility to changes in consumer demand, but they don’t always have the necessary tools to do so. This is the position that one of our clients, a consumer electronics hardware company, found themselves in when they first decided to bring on Alloy. 

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