EVANPOYNT

How do you achieve maximum return on fashion AI projects?

Return on fashion AI projects are more critical now than ever.

A recent study by Thomas H. Davenport (president’s distinguished professor of information technology and management at Babson College, a visiting professor at Oxford’s Saïd business school, and a fellow of the MIT Initiative on the digital economy) suggests a six-pronged approach to generate value.

The value you are generating out of an AI project depends on the “what” and the “how”. We see consistency of this framework and Stylumia's experience in implementing AI projects with brands and retailers globally.

An earlier article on “radical analytics adoption framework” captures some this essence. A good number of companies fail to realise the benefits from their AI initiatives due to the adoption framework.

Detailed research by MIT/BCG sheds some insights.

The pioneers are the ones who smartly combine strategy, organisational behavior and technology.

In this edit we provide a simple framework to give your projects a high probability of getting it right the first time and share the six levers to achieve return on Fashion AI projects investment.

Read further here:

How To Achieve Maximum Return On Fashion AI Projects | Stylumia Blog Here is a framework of ensuring that you get significant return on fashion AI projects learning from MIT's research. Not the What but the How.

The “End of Trend Forecasting”, Without Measurement.

A quick google search on “trend forecasting accuracy” returns no relevant results (the hyperlink takes you to the search results). This is revealing and has huge consequences on the economic and environmental sustainability of the fashion and retail industry.

What we cannot measure, we can never improve.
The fashion and retail industry consumes a lot of trend forecasts without measurement.

Are you paying thousands of dollars for trend forecasting tools, let alone millions of bets you place? Have you measured the accuracy of trends you consume as they occur?

Read this edit "why there should be an end of trend forecasting?"

The "End of Trend Forecasting", Without Measurement | Stylumia Blog Why should there be an end of trend forecasting? Yes, you must stop consuming trend forecasting without measurement as you can't improve otherwise.

How to transform the fitness of your fashion brand?

Like human fitness, the fitness of your fashion brand depends on building a healthy habit.

As leaders, one of the biggest challenges you would be facing is effecting change. It is not having great ideas that matter but adopting them. It is not about having new tools, software, but adopting them. Adoption is the key to transformation.

In this edit, read how our business partner is bringing their experience of creating adoption and science-backed insights into effecting change in the fashion world.

Read the full article at:

How to transform the fitness of your fashion brand? | Stylumia Blog Fitness of your fashion brand depends on the healthy habits. The challenge is what are the healthy habits and how to follow.

Fashion forecasting driven by Stylumia's Consumer Intelligence Tool (C.IT) will help you spot winning ideas 10x times faster than the speed of current trend research methodologies.

C.IT analyses True-Demand™ data using a proprietary AI-powered Demand-Sensing™ algorithm. Get a personalized demo to know more 👇
https://www.stylumia.ai/get-a-demo/

EVANPOYNT's unique market offering to Retail for A/NZ and exclusive partnership with Stylumia in the news with IT Wire.
To read further click on the link below:
https://itwire.com/resellers/evanpoynt-and-stylumia-partner-exclusively-for-the-australian-and-new-zealand-markets.html