Fashionbi On-Demand and Consultancy Services

Tailor-made business intelligence

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The brand/s you manage need the kind of intelligence that can only be gained with a dedicated, commissioned effort?
What you need is Fashionbi On-Demand, our personalised solution to your ever more complex challenges.

With our on-demand database and reports, we will customise our proven data driven approach to the unique reality of your business.

On-Demand Database

All you need is data

According to your needs we create a dataset from out big data about 3500+ fashion and luxury brands. Data fields can be additional financials data, information about their digital presence, social media performances, KPI, etc.

On-Demand Reports

Predict the future

By having a privileged access to the big data on fashion & luxury brands around the world, we are able to compare and benchmark performances for your specific needs.

We deliver online, every year, more than 20000 brand reports and datasets to 1500+ clients in Asia, Europe and USA.

Fashionbi On-Demand is ideal if:

  • You are growing and you need better understanding of the markets you're expanding into.
  • It's a time of very big decisions in your company and you need evidence to base those decisions on.
  • You're working on a concept for a new product and want to make sure you can position it to succeed against the competition.
  • You're having trouble unifying an entire team and you need something to back up your decisions.

Fashionbi tried and tested approah, personalised to your unique needs.

1

We analyze
your needs

We look at what your particular challenges are, and we get very clear on the results you're aiming for.

2

We go home and
play with our data

Taking advantage of our privileged access to Fashion and Luxury big data, we use our impressive wealth of knowledge to put together databases and reports for you.

3

We deliver and
we refine

We deliver, on time and on budget, and we refine so that you can get the results you were hoping for, and reach your ambitious goals.