Name 3 Fashion Influencers' of today's youth in the 16-23 age range.

For each, discuss why you believe they are able to dictate to today's youth what is fashionable or unfashionable.

• Two Choices - Retail Store or Social Media Influencers - fashion influencer is a person that has a large number of followers on social media, creates mainly fashion content, and has the power to influence the opinion and purchase behavior of others with their recommendations.
  • NO BIO on the store or influencer, but be sure to make the connection to why they have influence and a following with the 16-23 target market. For example, did they win a teen choice award or be featured in teen magazines??? MAKE THE CONNECTION.
  • Keynotes are also below
• Forecasting involves predicting what customers are likely to do in the future.
• Buyers use forecasting to predict what products customers will buy and how much they will purchase.
• Buyers can make short- or long-term forecasts for specific products, customer groups, time periods, or store locations.
• Long-term forecasts in volatile market conditions may be meaningless.
• Developing forecasts stimulates planning by forcing the buyer to have a thorough understanding of market conditions and customers, promotes coordination with other members of the merchandising team, and provides a control mechanism by which to evaluate a buyer's performance.
• When developing sales forecasts, buyers must examine all internal and external forces that may affect sales. They collect both primary and secondary data.
• Two of the most important forecasts that buyers make are sales and inventory levels.
• The key component of most sales forecasting is past sales records.
• Buyers can also use stock-to-sales ratios and inventory turnover to estimate sales.
• All other merchandising decisions are planned in relation to sales forecasts; therefore, if a sales forecast is in error, other decisions will be inaccurate, too.
• Decisions based on data analytics will be the future of retail forecasting.
• Retail analytics should help retailers increase sales, increase inventory turns, minimize unsold inventory, and manage the company more efficiently.