Nike aimed to quickly leverage historical and real-time business data for faster product and merchandising decisions.
THE OPPORTUNITY
- Nike’s Product Creation team analyzed product counts and SKUs but relied on third-party scrapers, making data analysis challenging.
- The Global Merchandising Team (GMT) created an Excel spreadsheet for product and retail sales data, but it lacked timely, specific information.
- Manual data retrieval caused bottlenecks, hindering data access and efficiency.
THE CHALLENGE
- No automation between data sources and Excel – high risk of errors and time-consuming manual transfers.
- Difficulty handling product information in Excel, requiring a list-based workflow solution.
- Low adoption of existing BI tools and restricted dashboard access.
- Dependence on outsourced analysts, with a 4+ week wait for specific data reports.
THE SOLUTION
The Chata.ai rollout for Nike included a branded web app with a Data Messenger integration. The setup took 30 days and achieved an 87-95% query success rate.
Future expansion plans:
- Expand internal usage and integrate supply chain data for Merchandising and Product teams.
- Integrate product data to aid in planning, design, and purchasing.
- Implement company-wide Data Alerts for proactive data monitoring.
- Add custom Dashboards for easy access and analysis of vital information across departments.
THE ROI
By using Chata.ai, Nike’s Merchandising and Product Creation teams no longer miss trends or product opportunities and can maintain optimal inventory levels, keeping them ahead as leaders and innovators in the retail sector.
Approximately 100 individual knowledge workers using Chata.ai for just one hour each month vs. manual work by analyst teams (at $70/hr) resulted in:
- 40% productivity gain.
- 100+ hours of manual labor saved monthly.
- 1042% overall ROI through productivity, revenue, and cost improvements.
