1.
Predictive Retail

2.
Six years ago we set out to solve the problem of overwhelming choice.
The consumer was underserved, navigating through 1000s of products to find one
that matched their needs. There was a better way to buy clothes.
As Dressipi advanced it was clear this new alternative was beneficial to retailers who
have been slow to adopt data and science to improve operations.
Using our technology delivers personalisation and predictive retail to the UK’s leading
fashion retailers.

3.
The customer shops where they
want, how they want and pay the
price they want
We are retailing in a
different and more
complex world

4.
$33bn
$163bn
$847bn
Other industries were quick
to understand the value of
personalisation
Customers are loyal to brands that recognise them,
help them and inspire them
They are then happy to share valuable data about
themselves and their preferences
This unrivalled data and insight drives value
throughout the business

5.
Personalisation means
giving each customer a
journey that is all about
them
Curated edits & listing pages
Outfits matching their style
New items styled with those they own
Guidance & inspiration tailored to them

6.
Which in turn delivers a
more powerful model for
retailers
15%*
£9.8 Billion
* Mckinsey, personalisation at scale, November 2018

7.
Yet fashion retailers have
been slow to reap the
benefits
All customers see the same experience, the same
products in the same order regardless of
individual mission or preferences
As a result conversion rates are low at 1-3%
Visitors
who
purchase
Visitors no
data

8.
Because fashion is
very different to other
verticals
Standard algorithms don’t work
Purchase history has less impact
Fashion is far more personal

9.
Combining fashion specific
data and expertise with
cutting edge AI & ML
Fashion focussed from the outset
Committed to the shopper
Adding nuances of industry into the mix

10.
We are now the fashion
experts
Our understanding of the fashion market sets us
apart
Consistently outperform other personalisation
experts
Conversion rates, ATV, Revenue per visitor
Reduction in return rates
Right product, right customer,
right time, right price
+12%
Revenue
+2%
AOV
+11%
Conversion
- 25%
Return Rate

11.
Secret Coffee
Thursday 4pm
Cultural Impact:
Mutual respect and
culturally diverse
Well balanced team
Shared learning across teams

12.
Inefficiencies within retail
sector
Huge inefficiency
- Average Sell Through Rates: 60%
- Garment return rates: 40%
Sustainability was an issue
- 3781 litres of water to produce a single
pair of jeans
- 60% of all clothes produced end up in
landfill within a year of being produced
- 35% ocean plastics are microfibres shed
from washing synthetic fibres

13.
Deeper understanding of
customer and garment
Help to create efficiency further down the
supply chain

14.
Increasingly impacting the top
and bottom line
40%
70%60%
Pre Dressipi
30%
Post Dressipi
+ 7% revenue uplift
+21% contributed margin uplift
Because of the high return rates, you can
have a disproportionate impact on
contributed margins

15.
Rigorous testing
Some education required for a rigorous
approach to AB testing
Understanding what to test and the actual
net incremental impact
ADD TO BAG
Net Revenue Per Visitor
Conversion
rate
Order
Frequency
Average
Order Value
Return Rate

16.
Our clients are a
testament to our
passion & commitment
 20% of market
 Laser Focused
 Retailer Mindset
 Rigorous Approach

17.
Cultural Impact

18.
Our key learnings
 Understand the data required to fulfil emotional requirement
 Understand the metrics that drive real value
 Understand limitations within industry (in our case data sparsity)
 Diversity of teams and approach are key

19.
Thank you!
Q&A
sarah@dressipi.com