FROM Raw Data to ML Predictions

Accelerate your Data-to-AI Journey with the Latest in Cloud Retail Solutions.

Retail organizations that achieve the highest levels of success share a common strategy. They prioritize the needs and preferences of their customers, supported by a robust data management system that facilitates effective collection, storage, and processing of data. In addition, they continuously adopt the latest advancements in artificial intelligence (AI) and machine learning (ML) to enhance their operations. Our goal is to assist our retail customers in implementing this approach, enabling them to develop innovative systems and solutions that increase sales, customer loyalty, and overall customer experience.

Challenges

Industry challenges we have solved for

  • Retail Data sources are vast, from internal and external apis, often siloed and disconnected
  • Third-party data is less reliable as pixels and cookies are slowly dying, combined with strict web data privacy regulations
  • Companies must shift towards first and zero-party data to optimize Customer Experience (CX)
  • Customers’ craving personalized experiences and their expectations are higher than ever
  • Retail organizations lack advanced customer sales forecasting and predictive capabilities
  • Retail organizations lack data automation functions, causing manual DevOps.
  • Leadership cannot focus on retail business strategy

Solutions

Accelerate time-to-market with pre-designed and proven industry solutions

Customer Data Platform

Collect and integrate first and third party data sources to create a unified customer profile. Enable your business with a comprehensive and real-time view of your customers. Leverage rich data intelligence to personalize the customer experience and improve engagement, leading to increased customer loyalty and revenue.

ML for Retail

Launch recommendation engines with customer data and external sources. Build MLOps pipelines with continuous deployment to production. Test your models live in products and customers with A/B Testing.

Predictive Analytics

Apply statistical models on historical data and identity patterns and opportunities to improve retail service.

GenAI Creative Assistant

Generate custom images and product descriptions based on prompts to streamline the content generation process.

Challenge

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Our solution

ML for Retail

Launch recommendation engines with customer data and external sources. Build MLOps pipelines with continuous deployment to production. Test your models live in products and customers with A/B Testing.

Challenge

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Challenge

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Challenge

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Case Studies

Predictive Maintenance for Oil and Gas Supermajors

Cloud-based simulations to predict failure of equipment and improve the efficiency of maintenance operations

Read Case Study

Event-Driven Kubernetes pipelines for high performant at-home patient health monitoring systems

Reducing patient falls — a billion dollar cost to the healthcare system, can be combatted with help of Kubernetes Engine

Read Case Study
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