data analysis and market research
Data analysis has proven invaluable to markets around the world. Fashion has a slow production-to-market phase and ultra-fast trend turn around, making it a perfect candidate to benefit from quality data analysis. We keep track of overall data trends to keep our ideas as current as possible.
Conventional wisdom dictates that the larger a set of data, the greater it's value. That's true. But we believe that there's more to data collection and analysis that quantity of data. Defining the semantics of data collection is also important in the evaluation of the data. That is to say, how we choose to define the terms that collect the data. When left to firms with no history in specific markets the semantics are likely to be defined through a narrow filter.
For instance: a data firm may base semantics solely on the frequency of words used in Vogue magazines within the last five years. We all love Vogue but it's not the only source defining fashion trends in the industry. No matter how much data collected past this point, it's quality is inherently corrupted. We also believe that a data set is only as valuable as the queries proposed. In layman's terms - the value of an answer is defined by the quality of the question asked. I Love You As A Person is dedicated to bringing real world experience to our work with data collection and analysis.
We ask the right questions and we get quality answers. We use a mix of real world experience, elbow grease, and technology to drive your business to new heights.
prediction and application
Access to easy-to-use analytics built into big data collection from corporations like Google are great for looking at the past and making generalizations about the market. See figure 1 for examples from Google.
Market predictions are a little bit more complicated, as shown in the paper "Towards Better Understanding [of] Clothing Fashion Styles: A multimodal Deep Learning Approach."
I Love You As A Person is dedicated to mixing multiple approaches and technologies to fit a multitude of market queries. Anything from simple predictions about the demand of apparel pieces to complex predictions in textile manufacturing.