In the pre-Internet world, the trend forecasting system was clearly defined. You no longer need a powerful position at a fashion house to influence style; all you need is your phone. Exposure to social media and e-commerce access can influence trends, and trends can be forecast across almost every single aspect of your day to day life. When you have some of the world’s biggest brands–the likes of Zara, Topshop, H&M, and Marks and Spencer– all subscribing to the same database of colors, patterns and practically ready-made templates, it’s not difficult to see why “shoppers complain that everything on the high street looks the same.” If you are able to mix social media trend with e –commerce buying pattern, you will have huge advantage while applying for a job or starting your own forecasting consultancy.
Before applying for job:
- Start and run an own fashion forecasting blog, vlog, page or publish papers, you can use your content as a portfolio when applying for a trend forecasting position. This will show employers that you’re already a player in the field and that you’re knowledgeable and passionate about sharing your insights with others.
- Do an internship and getting some valuable hands-on experience in a trend forecasting role.
Learn following technical skill & knowledge:
- Track Fashion manufacturers, they have developed a strategy called “fast fashion,” which aims to deliver copies of the latest runway shows in as little as three to six weeks. The quick turnaround eliminates the need for long-term forecasting and instead relies on short-term forecasting based on real-time data to make buying decisions. Get recent year sales data and divide it for different design pie chart such as color pie chart, sleeve pie chart, collar pie chart etc.
- Track the movements of celebrity trendsetters and underground early adopters to see what fashions are being promoted and worn on social media. Read blogs and popular interactive trending social media sites for the latest gossip and filter through the images and files receiving the most attention in numbers or %. Include trends promoted by popular designers to come up with their predictions in numerical form.
- Make close loop questionnaire & do qualitative quantitative survey. Consumer research performed through telephone surveys, online questionnaires and direct customer feedback adds statistics about buying trends that tell forecasters what colors have sold well, what demographics are most likely to make purchases and which products sold in maximum numbers.
- Do not apply social, cultural, traditional and local fashion input by yourself. Get numerical data from above 3 and then do analysis. For example red color halter neck off shoulder chiffon two piece gown is in Google Trend, on social media Facebook, Instagram etc, famous fashion designers show similar dresses on fashion shows etc. Get this numerical data and compare with other trend.
- Follow Fashion Forecasting magazines and websites such as VIEW, COLLEZIONI, WGSN, WWD.com, TRENDZOOM, TRENDSHOP etc.
- Follow Google’s daily/yearly trends report. The biggest search engine in the world makes it easy for you to identify what people will be wearing every year. Google’s daily/yearly trends report for shopping and fashion is built to help you predict what products will be flying off the shelves by analyzing accumulated search data.
MIFT ( Mysore Institute of Fashion Technology) students, trainee and scholars study and research about fashion, makeup, forecasting, e commerce, disruptive technologies in fashion & cosmetics industry. The primary research objective is to create open industry modular ecosystem platform for fashion designers and makeup artists to work and earn in hyper personal and local market using IR 4 and 5 ( industrial revolution) technologies to disrupt connected digitalization of mass production.