✕  “No results” for products you actually sell

✕  Best sellers lost on page three

✕  Merchandising that needs a developer every time

✓  AI search that understands intent and typos

✓  Dynamic Re-Ranking puts what sells at the top

✓  Merchandising Studio your team can run alone

incremental annual revenue

Gymshark

conversion rate

Frasers Group

✕  “White summer dress” returns a jumble of products

✕  Sold-out sizes fill the first page

✕  Every new collection means re-sorting by hand

✓  Search that understands style words and synonyms

✓  In-stock, best-selling items ranked first

✓  Personalised results and recommendations for each shopper

conversion for shoppers who search

Oh Polly

search sales contribution

Lacoste

faster merchandising changes

Shoe Carnival

✕  Misspelled brands return nothing

✕  Hundreds of near-identical variants

✕  Seasonal demand changes overnight

✓  Typo tolerance and synonyms for brands and ingredients

✓  Query categorisation sends shoppers to the right aisle

✓  Boost own-brand and high-margin lines

search conversions

DocMorris

✕  Technical specs that are hard to filter

✕  Searches by model or part number fail

✕  Category pages sorted by hand and out of date

✓  Fast filters across every spec

✓  Ranking driven by real clicks and purchases

✓  A/B testing to prove each change

search revenue

Al-Futtaim ACE

estimated annual revenue increase

Leroy Merlin

✕  Everyday or local words don’t match product names

✕  Building a full basket takes too long

✕  Seasonal, promo and own-brand items are hard to push

✓  Search that understands everyday and mixed-language terms

✓  “Buy it again” and personalised suggestions

✓  Rank by margin, offers and season without manual rules

of customers use search to shop

MILKRUN

average search response time

MILKRUN

✕  Shoppers describe a problem, not a part name

✕  Messy fitment data shows parts that don’t fit

✕  Out-of-stock or discontinued parts in results

✓  Search by part number, vehicle or plain language

✓  Fitment-aware results (ACES/PIES data supported)

✓  Real-time stock and pricing updates

fewer searches with no clicks

Arnold Clark

average daily revenue growth

Bapcor

✕  Part numbers and long-tail queries return nothing

✕  Every customer needs their own catalogue and pricing

✕  Category pages built and maintained by hand

✓  SKU and part-number search with AI synonyms

✓  Customer-specific access, pricing and warehouse stock

✓  Category pages built automatically

conversion rate

Swedol

click-through rate growth

Ergodyne

✕  Huge, fast-changing catalogues

✕  Duplicate and poor-quality listings

✕  Merchandising run from spreadsheets

✓  Near real-time indexing of price, stock and sellers

✓  Ranking tuned to your marketplace goals

✓  Merchandising Studio with AI and human control

✕  Evergreen content goes unread

✕  No view of what readers search for

✕  Generic “related articles” that don’t engage

✓  Fast search across all your content sources

✓  Personalised recommendations to keep readers reading

✓  Insights into search intent and content gaps

faster search than their previous solution

The Times

✕  Information spread across many department sites

✕  Everyday questions don’t match formal page titles

✕  No visibility into searches that dead-end

✓  One search across all campus sites and documents

✓  Natural-language search and conversational answers

✓  Analytics that show and fix failed searches

✕  Slow, basic in-app search

✕  Help content users can’t find, so they raise tickets

✕  Engineers maintaining search instead of building product

✓  Search-as-you-type across product data and help content

✓  Hosted APIs and UI libraries that ship fast

✓  Analytics on what users search and can’t find