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Unifying product data and automating e-commerce descriptions for a global performance apparel company

Artifactory client stories data in retail DBT snowflake snowflake cortex
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Achieved 95%+ user satisfaction by enabling natural-language insights through Snowflake Intelligence across core enterprise datasets.

Reduced marketing product copywriting time from weeks to hours using generative AI-powered automation at seasonal scale.

Delivered a product data platform in Snowflake, unifying product data and automating e-commerce descriptions with Cortex Analyst.

Challenge

The client enterprise, a global leader in performance apparel and footwear, manages massive volumes of product data, from technical specifications, to marketing content, to e-commerce descriptions. At the beginning of this engagement, traditional analytics workflows and manual content creation were slowing operations, limiting the capacity for personalization at scale, and delaying responses to time-sensitive business questions.

With teams spread across technical, product, and marketing domains, the client needed a modernized global data platform that could unify troves of structured and unstructured product data while accelerating insights and reducing reliance on manual, repetitive work.

Solution

Hakkoda partnered with the client’s internal team to build an AI-powered platform that unifies product data of every type (including structured data from internal systems and unstructured content like technical sheets and marketing descriptions) directly within the Snowflake AI Data Cloud.

Using Snowflake Cortex Analyst and large language models, the joint team automated the creation of e-commerce product descriptions, eliminating thousands of hours of manual effort and enabling teams to focus on higher-value storytelling and brand work.

The solution also introduced natural-language querying, allowing business users to ask questions in plain English and instantly retrieve insights. By removing procedural bottlenecks and operationalizing self-service analytics across the enterprise, this solution provides stakeholders across sprawling departments and domains with real-time clarity on product performance, trends, and customer needs.

The model

Technology used:

Snowflake

dbt

artifactory

Artifactory

Full time resources:

1 engagement manager

1 program director

3 AI engineers

Project duration:

9 weeks from use case discovery to production value

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