The Simplest Way to Talk with Your Data
Querri lets you clean, move, and explore your data with natural language. We use AI and large language models (LLMs) to make your requests just happen.
×
The Simplest Way to Talk with Your Data
Querri lets you clean, move and explore your data with natural language. We use AI and large language models (LLMs) to make your requests just happen.
The Simplest Way to Talk with Your Data
Querri lets you clean, move and explore your data with natural language. We use AI and large language models (LLMs) to make your requests just happen.
Sales operations
Marketing operations
Customer success
Mergers & acquisitions
Ecommerce
Supply chain
Easily clean, integrate, merge, and migrate data without complicated spreadsheets that break every time you use them.
Loop over every row and set the region to NA, EMEA, JAPAC or LATAM, then compare quarter-on-quarter sales performance by region and product line for 2022
Get clean marketing data without installing even more marketing tools.
Create target segments based on the job titles and reason to buy from last year’s won deals.
Dive deep into your customer data to boost satisfaction, reduce churn, and foster enduring relationships.
Identify the top 10% of customers by revenue from the past year and analyze their health and sentiment by support ticket.
Answer questions from your CRM, HR, and other data before you have time for the hefty systems integration.
Join together employee.xlsx and Employees-data-dump.csv. Loop over each row and categorize employee as "IC", "Manager", "Senior Manager" based on the role, title and job description fields.
Join data, find trends in stock and sales, and plan discounts, moving stock faster and increasing margins.
Which products in the bottom 10% of sales are in my top 20% of stock? Build a customer list of past purchases of those products.
Find efficiencies and cost savings buried in your data, no matter how many systems or spreadsheets it's in.
Tell me lead times on Supplier A vs Supplier B for the past six month period. Compare that against the previous six months and draw graphs to compare.
