• Who We Are
  • What We Do
  • Future of Retail

What we do

Maximizing
Retail Results
Retail is what we do. Which, for you, means experience (we’ve probably seen it before), expertise (we know how to solve it), and vision (we see where it’s going.)
Expanding Retail into a domain of Wish-fulfillment
Involve With Experience Design
Experience Design- Defining and designing experiences to drive user’s decision making faster in the age of intelligence.
Engage with Retail Solutions
Expanding Retail into a domain of Wish-fulfillment – retailers get closer to the consumer’s point of inspiration.
Execute with Productive Engineering
15 Years of Zero escalation, high precision, quality engineering. WE KNOW RETAIL.
Your Retail Business Results Partner for the
Digital-AI Age
Knowledgeable, focused on solving business demands with technical innovation
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Our Engagement Model

Discover

Engage with leadership from technology and business to discover needs that align with strategic objectives.

Design

Design architecture / solutions that are flexible, scalable yet cost effective to implement.

Develop

Deploy resources that work hand in glove with your teams to ensure IT roadmap is delivered on time with zero escalation.

Support

Provide Application management, ongoing L2 and SRE support.

Innovation & Scale

Enabling leaders drive consumer experience in the age of AI.

Core Practice
Competencies
Commerce
Commerce
  • Delivers reliable, scalable, secure best-in-class e-commerce platforms and order management systems
  • 15-years of expertise in site development and management
  • Detailed, in-depth business process and technical assessments and benchmarking
  • Next-generation site architectures and services
  • The Litmus7 library of proven pre-built accelerators, solutions and curated assets
  • Artificial intelligence innovation and integration
  • A vendor-neutral perspective – and a wide partner ecosystem
  • ASSESSMENT AND BENCHMARKING
  • Detailed, in-depth technical assessment: performance and management of the current site compared to peers and best-in-class examples; opportunities for technical improvement
  • Detailed, in-depth business assessment:  shopper services, capabilities, and functionality compared to peers and best-in-class examples; custom solution assessments aligned tightly to competitive needs
  • ARCHITECTURE: DESIGN AND IMPLEMENTATION
  • Greenfield, custom development: Best-of-breed technologies and best-in-class capabilities according to your specific needs
  • Legacy modernization and migration: Litmus7 composable package-based architecture (core package driven frameworks, hybrid frameworks, and client hosted microservices). From different country sites and flagships to a single unified site
  • Implementation and customization of off-the-shelf solutions.
  • Artificial intelligence integration:  Product search and discoverability; for customer service bots at points of shopper hesitation and question; for real-time analysis of shopper behavior (and real-time optimization of content in response.) 
  • ACCELERATORS, SOLUTIONS, AND PARTNER ASSETS 
  • Pre-built accelerators, solutions, and curated assets to expedite your time-to-capability
  • L7 CT B2B Suite 
  • Social Commerce Adapter 
  • Email Management Tool 
  • SFCC – Returns Cartridge 
  • SFCC – Subscription Cartridge 
  • BOPIS Plus 
  • Fluent™ Report Dashboard 
  • Fluent™ Enriched Connector 
  • Promise Date Service 
  • Blue Yonder™ Connector Service
Microservices
Microservices
  • From monolithic on-prem systems to agile, cloud-native microservices architecture
  • Client-proven platform and services maturity assessment: What, why, and when
  • Careful, detailed deconstruction of legacy applications, and identification of key components for migration
  • Deep expertise in API integration
  • Smooth transitions: Data transfer, application reconfiguration, and integration with existing services, all with minimal business downtime
  • Partnership that is vendor neutral, driven by your needs
AI & Data Science
AI & Data Science
  • AI strategy and maturity assessments – so that first investments bring lasting returns
  • Broad AI expertise – from machine/deep learning to generative AI, from NLP-NLG to computer vision, from agents to agentic workflows
  • AI integrated into business workflows – to predict and prescribe, augment and automate, reveal causation and simplify the complex
  • Strategic pathways (and business process integration) into the new worlds of Generative AI and Robotic Process Automation (RPA).
  • A vendor neutral, best-for-your-business perspective
  • DATA ENGINEERING, DATA INFRASTRUCTURE AND ARCHITECTURE DESIGN
  • Data Warehousing: Fast, scalable platforms (Snowflake, Redshift, BigQuery) for real-time access and improved decision-making.
  • Data Lake: Secure solutions (AWS S3, Azure Data Lake, Databricks) for structured/unstructured data ready for analytics and ML.
  • Big Data: Hadoop, Spark, and Kafka for massive volumes, real-time analytics, and complex processing.
  • ETL/ELT: Efficient pipelines via Airflow, DBT, Talend, Fivetran, and Matillion for processed, real-time, or batch data.
  • Cloud Architecture: Scalable, flexible, cost-effective solutions on AWS, Google Cloud, or Azure.
  • DATA INTEGRATION AND MANAGEMENT
  • Data Integration: Accessible data from CRM, ERP, IoT devices, sensors, APIs, and databases.
  • Data Migration: Transition from legacy systems to modern cloud platforms or between cloud services.
  • Data Governance, Compliance, and Security: GDPR and CCPA adherence with best governance practices.
  • Metadata Management: Complete lineage, discoverability, findability, and transparency.
  • DATA QUALITY AND MONITORING
  • Data Quality Frameworks for clean, reliable, and validated data
  • Monitoring & Alerts: Systems for continuous monitoring of data quality and flow. Automated alerts.
  • Data Lineage: Tracking data from initiation to use. For transparency, rapid troubleshooting, and compliance
  • DATA OBSERVABILITY, SECURITY, AND PRIVACY
  • Data Encryption & Security: Encryption when stored and during transfer
  • Role-Based Access Controls
  • Audit & Compliance: Logs of all data interactions, for direct, effective compliance reporting and monitoring
Cloud-DevOps & SRE
Cloud-DevOps & SRE
  • DevOps and Site Reliability Engineering (SRE) leadership, applied where and when best for you
  • Cloud migration expertise, and with all major cloud platforms
  • Practice-specific accelerators and utilities that reduce time to deployment, and consumer-facing tools - AI-equipped widgets that boost conversion and RPV
  • Vendor-neutral assessments and benchmarking – and hands-on experience with most prominent platforms
Mobility
Mobility
  • Mobility, Design and CX expertise that informs our work from the shopper’s perspective - Mobile UI and UX
  • Litmus7 artificial intelligence innovation and integration
  • Right-time management transparency to configurable events and data points: Traffic, dwell, abandon, click-through, conversion
  • Right-time data analysis: Correlations and causation as business unfolds
  • Right-time intervention and response: Addressing shopper hesitation as it happens
  • Bots providing accurate availability, promotion, pricing, and shipping information – bots trained on your data and your brand promise
Retail Core Systems Engineering
Retail Core Systems Engineering
  • Retail Core systems design, development, and maintenance
  • POS implementation/operations (Mobile, Desktop) with multiple peripheral integrations
  • Warehouse Management System implementation/support
  • Loyalty, Omnichannel Promotions Management/Execution Engines
  • Store Scanning Solutions for Checkout/Operations
  • Clienteling, CRM, and ERP Solutions
  • Store Workforce Management Solutions
  • Custom Store Operations Solutions (Pick, Pack, Ship)
  • Store Events scheduling/booking applications
  • BUSINESS INTELLIGENCE AND ANALYTICS
  • Data Visualization & Dashboards: Real-time displays via Tableau, Power BI, ThoughtSpot, Looker, and QlikSense
  • Retail Analytics: Actionable insights into sales, customer behavior, and inventory
  • Self-Service BI: Enabling data-driven decisions across all teams
  • Advanced Analytics & Reporting: Predictive models improving marketing, operations, and customer engagement
  • Data Modeling: Foundation for reliable reporting and analytics
Quality Engineering
Quality Engineering
  • Automation: repetitive testing - Regression, functional, and performance tests. Utilization of tools such as Selenium™, Cypress™, and Playwright™.
  • Performance Testing: Reliable response to peak (and higher) traffic loads; optimal performance across multiple environments.
  • Security: Protection from vulnerabilities such as cross-site scripting (XSS), SQL injection, and other brand- and business-cybersecurity threats
  • Cross-Browser and Cross-Device Testing: Seamless performance on all browsers (Chrome™, Bing™, Firefox™, Safari™, etc.) and devices (desktop, mobile, tablet)
  • AI-Powered Testing: Artificial intelligence to automate and optimize testing processes, predict potential issues, and analyze vast datasets for continuous improvement
  • Shift-Left Testing: Earlier testing in the development cycle for earlier issue detection and reduction of time and cost mitigation
  • DevOps Integration: Integrating QE with DevOps to ensure faster development