ThoughtSpot for
Retail Analytics

What if your merchants were their
own data analysts?

With ThoughtSpot, anyone can simply search to analyze billions of rows of data from any source - from online sales to social media conversations, inventory sales, and even in-store sensors - in seconds.

Example Search #1: Sales Growth by Category

Example Search #2: SpotIQ Sales Trends Insights

Example Search #3: Retail Sales Performance Pinboard

Now everyone can make faster decisions and
improve the shopping experience.

Whether you’re in e-commerce, merchandising, finance or store operations, you can get instant answers with ThoughtSpot. Below are a few use cases by role.

Merchandise Planners

Improve planning and optimize every store inch with instant access to sales and warehouse inventory levels across thousands of SKUs.

Brand Managers

Get instant answers about product, customer, and sales data to deliver personalized experiences across every channel.

Operations Managers

Maximize efficiency with instant access to store staffing data and hourly order volumes to improve employee productivity.

"Timely access to information is extremely important, so that we're not starting to make wrong day-to-date decisions just because everything is changing so fast. And that's where ThoughtSpot is so, so crucial to me."

IARO BOUTORIN
Manager, Merch Analytics & Planning Support,
CANADIAN TIRE CORPORATION

Text-based Sentiment Analysis
with Snowflake Snowpark

 

With ThoughtSpot’s custom text-based sentiment analysis function, written in Java and loaded to Snowflake with Snowflake Snowpark, you can get instant insights into the reviews and comments your customers leave online. Sentiment analysis enables retailers to get ahead of emerging trends and understand changes in their customers’ preferences. By combining Live Analytics from ThoughtSpot with text data in Snowflake and the ability to execute custom analytics code with Snowflake Snowpark, sentiment analysis is just a live query away.

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