Kismet wanted a faster way to access, query and analyse its years of customer transaction data, across excel sheets and shopify. The team needed quick insight into daily sales trends and top-selling items across seasons. AI Squared’s Sparx made this possible by giving them instant access to sales answers in plain language.
The Challenge:
The team had several years of sales data sitting across excel sheets and Shopify, but getting answers from it took a lot of manual work. They needed to know simple things like:
- “What is the sales trend for today’s date across the past three years?”
- “What was our top-selling jean during spring?”
Finding these answers required digging through spreadsheets and reports. This slowed down sales goal planning and made it tough to plan inventory with confidence.
How Sparx Helps:
Sparx connected directly to the brand’s historical sales data with no code needed. The team now asks plain language questions and gets answers in seconds, such as “Show today’s sales trend over the last three years.”
Sparx brings the data together in one place and removes the need to check multiple files or manually generate reports.
Impact Delivered:
- Operational efficiency: Administrative and reporting time significantly reduced.
- Faster access to data: Team can instantly find what they need, wherever they are – from single source of truth.
- Faster Operations: Inventory planning is faster and more accurate.
Sparx helps Kismet turn scattered files and slow reporting into a simple, on-demand sales insight system. The team now gets the clarity they need without waiting or digging through spreadsheets. This puts them in a stronger position to plan sales goals, manage stock, and act with confidence every day.
