Turn Retail Data into Real-Time Sales, Inventory, Customer, and Operational Intelligence
Artha helps retailers build trusted analytics foundations for customer engagement, sales performance, inventory visibility, supplier management, operations, compliance, ESG, and executive decision-making.
Master Data Capabilities
Our MDM processes standardize, merge, and govern files to assemble golden master registers.
Standardized KPI Frameworks
Align calculations for margins, conversions, and stock turn rates across regional storefronts.
Lakehouse Modernization
Unify sales records and operational logs into fast cloud lakehouses (Snowflake, Databricks).
Self-Service BI Support
Create data dictionaries and access masks to allow category managers to build reports safely.
Real-Time Streaming Dashboards
Deploy streaming paths (CDC, event streams) to capture store transactions at speed.
Featured Retail Use Cases
Browse real-world scenarios illustrating the application of unified databases to support business operations.
Sales & Margin Performance
Analyze margins, average order value, and markdown rates by store, web site, and region.
Near-Real-Time Inventory Metrics
Monitor warehouse and store shelf volumes to flag potential out-of-stock items.
Loyalty & Customer Analytics
Track loyalty points activity, cohort purchases frequency, and promotion response rates.
Logistics & Carrier Performance
Track transport lead times, delivery cycles, and supplier fulfillment rates.
Enterprise Analytics Metrics Supported
Standardize your database triggers to compute essential sales, inventory, compliance, and customer KPIs.
Measurable Outcomes
Deploying compliance-ready, unified data infrastructures generates concrete financial and regulatory advantages.
Accelerate management decisions using real-time margins and sales metrics
Lower stockout instances by monitoring inventory counts in near-real-time
Lower operating costs by replacing manual spreadsheet data prep steps
Increase dashboard trust across category management teams
Speed up the deployment of automated replenishment systems
Prepare analytics databases for machine learning and forecasting models
Related Solutions & Services
Frequently Asked Questions
Common questions regarding our implementation architectures for Retail Analytics & Real-Time Insights.
We are platform-agnostic, designing secure backend semantic layers that connect to Power BI, Tableau, Qlik, and custom web tools.
We build business glossaries and enterprise catalog mappings to ensure terms like "active margin" are defined identically.
Modernize Your Retail Analytics & Real-Time Insights Program
Connect with our data consultants to build connected schemas, audit data pipelines, and scale your analytics.
