In today’s retail environment, the value for brand manufacturers of using downstream data to understand true demand is becoming increasingly clear. However, implementing an effective solution to take advantage of that data is not a simple “one size fits all” decision.
Gwylim Ashley is a software engineer at Alloy, working out of our Vancouver office. Previously, he worked on Android at Facebook. He received his B.Sc. in Math, Computer Science, and Physics from the University of Cape Town.Read Now >
In both weather and retail planning, inaccurate forecasts cause mild discomfort at best and catastrophic consequences at worst. It’s not fun to come home soaking wet after a day when sunshine was predicted, and it’s bad for business when excess inventory that didn’t sell has to be marked down. At Alloy, we can’t say that we’ve fully nailed meteorology, but we do have expertise in retail forecasting, and we spend a lot of time leveraging best practices to benefit our clients.Read Now >
Craig is our Head of Design at Alloy. Previously, he was the Head of Design and a co-founder at Liveli, a platform to help companies hire employees in the service industry. He received his BFA in graphic design from Ohio University.Read Now >
Iva is a software engineer at Alloy. Previously, she was an engineer at Pinterest, working on the Android app. She holds a degree in Computer Science and a minor in Economics from Harvard University.
Read Now >
For consumer goods companies with omnichannel sales, downstream demand is a key signal to consider when thinking about inventory allocation, new product launches, demand planning, and other decisions. However, not all downstream demand is created equal.Read Now >