E-Commerce & Marketplaces
I help you understand your customers’ intent and help them find the right products faster, even when catalogues are large, inconsistent or constantly changing.
Improve workflows, search relevance, product discovery and conversion without forcing your team to work around a broken search experience.
Search & Discovery
Making it easy to find the right thing, fast.
“boho summer dress under $50” returns zero results, even though the item’s in stock
Search That Understands Customer Intent
Hybrid Semantic + Keyword Search
Shoppers describe what they want, not your product titles. Meaning-based matching returns the in-stock item instead of an empty results page.
Best Results First
Relevance & Ranking Tuning
Ranking tuned on what converts, not text similarity, so the first screen of results is the one worth scrolling.
Forgiving, Natural Search
Typo Tolerance & Query Understanding
Typos, synonyms and brand nicknames still land on the right product, so a misspelling never costs you a sale.
Data Engineering
Turn fragmented data into dependable infrastructure.
A markdown goes live at 9am and the search results still show yesterday’s price at noon
Instant Inventory Visibility
Real-Time Indexing Pipelines
New arrivals and price changes are searchable within minutes of hitting your catalogue, not the next morning.
Applied AI Automation
Use AI where it creates measurable value.
12,000 new SKUs land Monday; tagging doesn’t catch up until Thursday
Less Manual Catalogue Work
AI Automation & Agentic Workflows
Tagging, categorisation and enrichment run automatically, so catalogue upkeep stops scaling with SKU count.
Instant Answers for Your Team
Internal Search & Copilot Tools
Merchandising and support get their own search over products, orders and policies instead of asking someone.
Data Analytics
Good decisions depend on good information. Make your data easier to understand and act on.
400 people searched “wireless charger for iPhone 15” last week, and nobody bought anything
See Demand the Day It Happens
Real-Time Analytics Pipelines (Kafka, OLAP)
Live view of what shoppers search, click and abandon, so a demand spike or a broken filter shows up the same day.
The Demand You’re Not Seeing
Search & Behaviour Analytics
Zero-result and high-exit queries read as a demand list: what customers want that you do not stock or do not surface.
One Version of the Numbers
Metrics Layer & Reporting Models
One agreed definition of conversion, revenue and margin behind every dashboard, so merchandising and finance stop reconciling.
Dashboards people want to use
Self-Serve BI & Visualization
Using UX principles, build dashboards that are easy to use, flexible and refined over time based on metrics from clicks.
Monitoring & Risk
Be assured that your AI and tech systems are running smoothly while you focus on your business.
Fraud review flags 200 orders a day; 190 of them ship anyway
Automatic Red-Flagging
Pattern & Anomaly Detection
Flags the pricing errors, fraud patterns and listing anomalies worth a human look in high-volume order data.
Know When Something Breaks
Data Quality & Pipeline Monitoring
Catches a stalled feed or a schema change before shoppers see empty categories.
Fewer False Positives
Alert Tuning & Triage Workflows
Alert scoring tuned so your team reviews the handful that matter, not every threshold trip.