Align on Business Goals
We start with what matters to your business — revenue growth, cost reduction, inventory consolidation, or better customer experiences. Every engagement is shaped by the outcomes you need, not by a generic algorithm.
AI alone does not solve business problems. We combine deep domain expertise with intelligent clustering to help you find the right product matches, consolidate inventory, and make decisions that directly reduce costs and grow revenue.
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AI is a powerful tool, but it does not define your strategy. The real value comes from aligning clustering technology with what you are actually trying to achieve — whether that is promoting the best product matches for your customers, identifying consolidation opportunities across inventory, or surfacing alternative designs and configurations that reduce cost. We start with your goals and use AI to get you there.
We start with what matters to your business — revenue growth, cost reduction, inventory consolidation, or better customer experiences. Every engagement is shaped by the outcomes you need, not by a generic algorithm.
Our team applies domain expertise alongside AI-powered clustering to find meaningful patterns in your data — matching by attributes, descriptions, specifications, or any combination that reflects your definition of "similar."
We deliver structured outputs ready for your systems and your people — product match indexes, consolidation reports, recommendation feeds, or custom formats built for your enterprise tools and workflows.
We identify the best product matches across your catalog — by attributes, specifications, or any criteria you define — and deliver recommendation-ready outputs for your customer-facing systems.
Surface duplicate, overlapping, and redundant items across your inventory. We help you see what to consolidate, what to eliminate, and where alternative designs or configurations already exist.
Messy data is the norm. We clean, normalize, and structure your product data before analysis so results are accurate and actionable from day one.
Similarity means different things to different businesses. We configure every analysis around your specific definition — descriptions, specs, categories, pricing, or any combination that drives your decisions.
Results are only useful if they reach your systems. We deliver in formats your tools understand and work with your team to integrate into ERP, PIM, eCommerce, or custom enterprise platforms.
All data transfers, storage, and processing are encrypted. Your data is never shared, never retained beyond the engagement, and deleted on request.
Whether you are looking to match products for recommendations, consolidate inventory, or identify alternative designs — we bring the expertise to make it happen. Tell us about your goals and we will scope an engagement that fits.
We start with a conversation about your business goals — what you are trying to achieve with your product data. From there, we scope an engagement, securely receive your data, and get to work on the analysis and delivery.
We work with CSV files, Excel spreadsheets, database exports, and most common tabular formats. If your data lives in a system that can export rows and columns, we can work with it.
After an initial discovery call to understand your goals, we scope the work, securely receive your data, run the clustering analysis, and deliver structured results — along with integration support if needed.
We deliver clustered and non-clustered item files (CSV), group indexes for product recommendations (primary and secondary matches), and complete result packages in CSV and JSON. Custom output formats are available for enterprise integrations.
Yes. Our group index files are designed for direct import into eCommerce recommendation engines. We also work with teams to integrate results into ERP, PIM, and custom enterprise platforms.
All data transfers, storage, and processing are fully encrypted. We do not retain or back up your data beyond the scope of the engagement. When the work is complete, your data is deleted on request.
Engagements are scoped based on data volume (number of rows), analysis complexity (number of clustering goals and columns), and integration requirements. We provide a clear quote after the initial discovery call.
We provide data cleansing and normalization, alternative product identification, catalog rationalization strategy, product recommendation system design, and consolidation or elimination analysis.