Lectra has analyzed real-time data from Retviews, its AI-based solution specialized in competitive intelligence and automated benchmarking, to identify strategic approaches for navigating the current market.
Lectra has analyzed data from Retviews, its AI-powered solution specialized in competitive intelligence and automated benchmarking, to identify the trends that will shape the upcoming discount season.
Paris, November 11, 2024 – With Black Friday and Cyber Monday just around the corner, fashion brands are called upon to make conscious and targeted decisions to remain competitive during this peak season. In this context, Lectra, a leader in Industry 4.0 within the fashion, automotive and furniture sectors, leveraged real-time data from Retviews – its AI-powered solution for automated market intelligence to offer insights on increasing sales, reducing stocks and boosting profitability. These tips aim to guide brands in developing the most effective discount strategies based on key fashion trends for the year’s most popular shopping period.
Lectra announces the launch of a new version of Retviews, its AI-powered market intelligence solution designed for fashion brands. In a market that is becoming increasingly complex and with pressure on brands intensifying, this new version serves as a true strategic ally. It aims to support decision-making, optimize sales performance, and strengthen brand value.
Retviews, a fashion brand data analysis solution, has deciphered the special offers proposed in the ready-to-wear sector and particularly the fast fashion segment, to highlight the main lessons to be learned to optimize purchases during this period.
As an analyst responsible for building a competitive pricing and assortment strategy, you know the fashion world moves at lightning speed, and the data you collect often feels stale by the time it’s ready for analysis.
You know that relying on outdated insights can lead to poor decision-making, whether it’s about pricing, product launches, or trend forecasting.
You’re left wondering: How can I make informed decisions if my data is already behind the curve?