ecommerce_ops · ecommerce · workflow

Staples Canada uses Algolia AI Dynamic Re-Ranking, Rules, and Personalization to achieve 65% auto-resolution and double-digit conversion growth

Staples Canada's legacy search tools were either highly manual, requiring spreadsheets that were hard to keep current, or appeared modern but offered no transparency into why results changed, making it difficult to serve both frequent and exploratory shoppers across more than 200,000 SKUs.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer queries product catalog
Millions of visitors arrive on Staples.ca and perform searches across the product catalog.
Tools used
AlgoliaAlgolia AIDynamic Re-RankingDynamic Synonym SuggestionsAlgolia RulesAlgolia PersonalizationAlgolia AI Recommendations
Outcome

Staples Canada achieved 65% of issues automatically solved and a double-digit increase in conversions, with improvements in add-to-cart rates, click-through rates, and revenue, while freeing engineering time for strategic initiatives.

What failed first

Legacy search tools required manual spreadsheet management to stay current, gave no transparency into result changes, and surfaced irrelevant product categories for straightforward queries.

Results
Time savedfreeing up engineering time to work on more strategic initiatives, saving the company time and money
Volume65%
Cost replacedincreases in key metrics such as revenue
Running since2018
Source

https://www.algolia.com/customers/staples

How we source this →

Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct catalogmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedecommerceretailautomation rateconversion increaseemployee productivityvendor customer storyecommerce opsautonomous resolution