Massive Data Led Scale Solutions
State of the art behaviour tracking and collaborative filtering, a division of machine learning, combine to deliver best-in-market product recommendations at scale
What We’ve Been Up To
What You Get
3rd Party Integrations
Updates & Fixes
Built In Analytics
"The first software vendor we haven't wanted to throw out of the office!"
"PA were super pro-active in optimisation, from widget design through to tactic placement."
"Making it obvious to customers on our site that we have complimentary products suited to their needs, which increased basket spend size."
“promising start indeed!”
Promoting own brand, high margin items while being relevant to our customers is a big win.
“PA were super pro-active”
To have a solution you can literally drop into tag manager that generates ROI so quickly was unbelievable.
“a genuine impact on the business”
We had massive discovery issues with 80% of our revenue coming from 20% of our products.
Built For & Tested on All Major Platforms & Devices
We can be up and running in 4 weeks flat, model training inclusive. Taking you no more than a copy and paste into Google Tag Manager or equivalent, we do absolutely everything else.
Choose A Plan That Works For You
We offer performance pricing on a cost per sale basis and fixed fee options too. Just get in touch to explore service tiers and line items for a quote.
Intuition With Behavioural Data
Absolute best in class product and content recommendations are enabled by custom implicit behaviour tracking, completely configurable logic not just optimised for top line revenue but allowing for margin sensitivity and supplier sponsorship boost and bury functionality too.
Pictures Speak One Thousand Words
Using divisions of computer vision we can calculate the visual similarity of items in your catalogue to power visually similar product recommendations, onsite visual search and the automation of detail classification for retail facing metadata and internal content management.
Perfect Experience In-Store & Online
Inventory allocation optimisation technology supports stock size depth, ship from store efficiencies and the means to never lose a sale due to out-of-stocks. We use online demand signals to inform optimal allocation planning.
Smart mirrors apply computer vision and collaborative item to item relevancy scores trained online can be used to inform unconvinced customers in the fitting room of better suited alternatives.