Unleashing technology to meet the Next Normal

SpringML delivers AI-powered solution to retailers to navigate disruption and uncertainty

SpringML empowers retail businesses to transform their marketing, administration, and operations using AI and data-driven solutions. Our solution accelerators allow retailers to develop targeted marketing, build intelligent analytics tools and enable smart digital assistants.

How we help our clients in Retail

People Centricity

Internet of Behaviors

Total Experience

Privacy-Enhancing Computation

Location Independence

Distributed Cloud

Anywhere Operations

Cybersecurity Mesh

Resilient Delivery

Intelligent Composable Business

Al Engineering

Hyperautomation

At SpringML we help grow your business with a unified digital commerce solution that scales to meet your business needs. We bolster your ability to unify back-office and in-store operations, e-commerce presence, multi-channel experience, and customer service. Our solutions range from personalizing customer engagement, to increasing employee productivity, and optimizing retail operations. We develop solutions to deliver everything you need to increase efficiency, boost customer service, and be prepared for the next industry shift.

Customer Success Stories

GoSpotCheck

SpringML worked with GoSpotCheck to build Machine Learning models that accurately identify products down to the UPC code by analyzing images of shelves in retail stores. This model was built based on the image data provided by GoSpotCheck.

Iron Mountain

Iron Mountain achieved a massive database consolidation and cloud migration project in just weeks. Together we reduced license and overhead costs while improving data management visibility across a complex global organization.

Public Storage

SpringML built an ML model for analytics and provide a mechanism of operationalization and visualization from a single source of truth. We were able to establish and demonstrate a GCP environment for Data Analytics leveraging the existing data sources.

Tailored Brands

SpringML worked with Tailored Brands on a project to integrate information about online orders and inventory needs with existing on-premise systems, while also transitioning to a cloud based system.

Williams Sonoma

SpringML built the Gift Recommendation chatbot using Google Cloud Platform. The technology stack included Dialogflow and Google App Engine. The user interface was Google Assistant. Integrations to Williams Sonoma backend systems were enabled for product information.

Kroger

Kroger historically relied on an on-premise big data platform. We created a cloud data lake to help them keep pace with rapidly expanding data volumes and processing requirements.

Customer Success Stories

“SpringML helped us with a proof of concept effort to demonstrate use of Google Speech API and the Dialogflow to implement our use cases. The proof of concept was a success and the SpringML team acted professionally and in a collaborative fashion to achieve the desired results on schedule.”

TAYLOR LINNELL
Product Manager, GoSpotCheck

Create omni channel capabilities with SpringML’s Retail Solutions to enhance your customer experience

Post COVID-19 Retail Experience

The retail landscape has changed SpringML can help you implement technologies to enhance the product and consumer experience

Data Modernization

Improve operational workflows through legacy system upgrades and data consolidation

Sales Accelerators

Optimize conversion rates and speed by leveraging cutting-edge ML and Al solutions

Digital Experience

Enhance client experience while decreasing the need for manual involvement

Al/ML Advanced Use Cases

Custom development for every need through a flexible and agile approach

Customer Data Platform (CDP)

Marketing analysis based on multiple data sources to bring an intelligent analysis for better customer outreach

Featured Resources

Enhancing Customer Experience by using Graph Database – Neo4J and its Integration

By Sravan Jindham

June 3, 2021

Graph Database helps relate the multidimensional data and thus converts the data into knowledge. This Demo will show how this database is a combination of knowledge management, informatics, and data science.

Watch now