Reimagine Retail with an AI-first approach

services-bg

Discover how Tiger Analytics enables retailers to leverage data and AI to supercharge growth

services-bg

Rewire Retail operations with future-proof solutions

From optimizing inventory levels to improving the customer experience, analytics is a powerful tool that can help retailers stay ahead in the race. However, traditional retail analytics fall short in this rapidly evolving landscape. To thrive, retailers must infuse flexibility and rapid responsiveness into their planning process.

Tiger Analytics offers AI and analytics solutions to adapt to the changing tech environments leveraging AI/ML with simulation capabilities and customer data-driven decision support frameworks.

What we do

01

Cross-functional AI/ML enablement

Leverage our end-to-end Lego blocks for low- or no-code AI/ML model development and deployment across diverse use cases such as forecasting, inventory and more
02

Customer data enabled insights workbench

Our templatized accelerators and frameworks to help you harness customer data for rapid insight generation and cross-functional decision-making for customer lifetime value maximization.

03

Simulation and optimization

We empower business users to optimize operations while addressing constraints and uncertainty in supply chain disruptions and financial planning.

04

Measurement excellence

Drive precise insights on the performance of all initiatives using market mix modeling, multi-touch attribution, testing and learning, and more.

Testimonials

video Thumbnail
video Thumbnail

Paola Peretti

Chief Digital Officer (CDO), Fresh Beauty

Customer stories

Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting Workloads from On-prem to Azure and Snowflake Stack
Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting...
The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data.
Readshp-arrow-topright-large
Top clothing brand boosts CRM efficiency by 25% with AI/ML
Top clothing brand boosts CRM efficiency by 25% with AI/ML
Tiger Analytics transformed CRM with an AI/ML-driven customer data garden, streamlining and automating targeting models.
Readshp-arrow-topright-large
AI/ML forecasting delivers 20% savings for top US restaurant chain
AI/ML forecasting delivers 20% savings for top US restaurant chain
Tiger Analytics elevated restaurant forecasting with an AI/ML hyper-localized system, boosting accuracy and savings.
Readshp-arrow-topright-large
Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting Workloads from On-prem to Azure and Snowflake Stack
Migrating and Modernizing Victoria’s Secret & Co. Analytics and Reporting...
The evolving landscape of data analytics necessitates that organizations adopt more flexible, scalable, and cost-effective solutions. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data.
Readshp-arrow-topright-large
Top clothing brand boosts CRM efficiency by 25% with AI/ML
Top clothing brand boosts CRM efficiency by 25% with AI/ML
Tiger Analytics transformed CRM with an AI/ML-driven customer data garden, streamlining and automating targeting models.
Readshp-arrow-topright-large
AI/ML forecasting delivers 20% savings for top US restaurant chain
AI/ML forecasting delivers 20% savings for top US restaurant chain
Tiger Analytics elevated restaurant forecasting with an AI/ML hyper-localized system, boosting accuracy and savings.
Readshp-arrow-topright-large
Copyright © 2024 Tiger Analytics | All Rights Reserved