Furnilytics is an independent analytics initiative focused on detecting, structuring, and interpreting signals within the furniture industry.
We specialise in transforming large volumes of fragmented industry information into structured datasets and analytical views that make market dynamics easier to observe, compare, and track over time.
Our work sits at the intersection of industry knowledge, data engineering, and analytical modelling.
What We Do
The furniture industry generates vast amounts of dispersed information across company websites, filings, retail channels, news publications, and market sources. Furnilytics brings this information together through automated collection, structured processing, and systematic analysis.
Rather than relying on static snapshots, we focus on:
- Identifying patterns, shifts, and anomalies
- Quantifying growth, scale, and structural change
- Creating consistent time-series and comparative views
- Making complex market behaviour observable through data
How We Work
Our analytical pipeline combines several advanced techniques, including:
- Automated web crawling and structured web scraping to monitor company activity, retail presence, and market signals
- Deep search and agentic AI workflows to identify relevant sources, extract structured information, and continuously expand coverage
- Webpage and content tracking to detect changes over time, such as expansion patterns, market entry signals, pricing movements, or operational shifts
- Data normalisation and validation to enable cross-company and cross-region comparisons
- Analytical modelling and visualisation to surface trends in a clear and interpretable way
This approach allows us to follow market movements as they emerge, rather than only after they appear in aggregated statistics.
Data Access & Integration
To support ease of use, internal analysis, and dashboarding, Furnilytics offers structured data access through API-based integration.
This enables organisations to:
- Integrate datasets directly into internal dashboards and BI tools
- Automate updates to recurring analyses
- Combine Furnilytics data with internal models and workflows
- Maintain consistent, versioned datasets across teams
The API is designed for analytical and monitoring use cases, allowing teams to work with furniture-market data in a scalable and repeatable way.
Who Uses Furnilytics
Furnilytics is used by:
- Market and industry analysts
- Research institutions and universities
- Financial and investment teams
- Corporate insight, analytics, and data-science functions
Typical use cases include market monitoring, benchmarking, historical analysis, and early detection of structural change.
Independence & Scope
Furnilytics operates independently and is not affiliated with or representing any company or organisation. All analytical outputs are produced using standardised methods and are intended for informational and research purposes.
Further details on scope, limitations, and usage are available in our Disclaimer and Terms of Use.