Auto Parts & Industrial Supply
Make complex product catalogues easier for customers and sales teams to navigate.
Automate workflows, connect fragmented product data, improve search and help customers identify the right part or product with greater confidence.
Search & Discovery
Making it easy to find the right thing, fast.
“brake pad for a 2019 F-150 XLT” returns a pad that fits the base trim, not this one
Search That Understands Intent
Hybrid Semantic + Keyword Search
A search for “alternator” surfaces the right part even when the customer typed the make and model instead of the part number.
Best Results First
Relevance & Ranking Tuning
Ranking weighted on what actually gets ordered and doesn’t get returned, not just how closely the words match.
Forgiving, Natural Search
Typo Tolerance & Query Understanding
Misspelled part names and shorthand, like “brk pd” or “alt,” still land on the right listing.
Fit-Guaranteed Results
Compatibility & Attribute-Aware Retrieval
Filters out parts that don’t fit this exact trim and model year before they ever reach the results page.
Data Engineering
Turn fragmented data into dependable infrastructure.
The same part ships under four different SKUs across two warehouses and a supplier feed
Clean, Trustworthy Data
Data Normalization & Extraction
Reconciles the same part number spelled four different ways across two warehouses and a supplier feed into one listing.
Instant Inventory Visibility
Real-Time Indexing Pipelines
A part that just arrived on the dock is searchable within minutes, not the next morning’s batch job.
One Search, Every System
Unified Search Across Systems
Counter staff search one box instead of switching between the warehouse system, the supplier portal and the price list.
Applied AI Automation
Use AI where it creates measurable value.
A new supplier feed lands as a spreadsheet with its own naming convention; someone retypes it by hand
Less Manual Catalogue Work
AI Automation & Agentic Workflows
New supplier feeds get tagged and categorised automatically instead of retyped line by line.
Data Analytics
Good decisions depend on good information. Make your data easier to understand and act on.
A part is trending on the floor for a week before the backorder report says so
See Demand the Day It Happens
Real-Time Analytics Pipelines (Kafka, OLAP)
See a part trending before the backorder report tells you it sold out.
The Demand You’re Not Seeing
Search & Behaviour Analytics
Zero-result searches for a part you don’t stock read as a buying signal, not a dead end.
One Version of the Numbers
Metrics Layer & Reporting Models
Sales, margin and fill rate mean the same thing whether counter staff or finance is looking at the number.
Dashboards people want to use
Self-Serve BI & Visualization
Views built around what a counter manager actually checks each morning, not a report library nobody opens.
Monitoring & Risk
Be assured that your AI and tech systems are running smoothly while you focus on your business.
A supplier feed silently stops updating for two days before anyone notices the catalogue has gone stale
Know When Something Breaks
Data Quality & Pipeline Monitoring
A stalled supplier feed gets caught before a customer sees an empty category.