AI in Retail and Supply Chain Industry

Real-Time Data Processing on Docker and Kubernetes

Market Analysis

Focuses on analysing the market – using internal and external data – in which the company is operating by providing geographic and demographic insights, competitive intelligence, current performance and trends. Main outcomes are the identification of key opportunity areas to grow or improve the business.

Big Data Analytics With Apache Spark & Flink

Financial Forecast

Translates company strategy into financial projections and scenarios by developing Financial Forecasting, based on inputs from other analysis such as market analysis, store potential and assortment planning, combined with external drivers.

Big Data Warehousing and Data Lake Solutions

Pricing Strategy Analysis

Focuses on how demand varies at different price levels and with different promotion/rebate offers and used to determine optimal prices throughout product/service lifecycle and by customer segment. Benefits include increasing sales margin, decreasing need for markdowns, and aiding Inventory Management.


Analytics Services for Retail Industry

  • Continuous Integration and Continuous Delivery of Software Development and deployment.
  • Integrate supplier and product data from multiple sources to provide business users with a complete view of the customer and related supply chain business processes for Building Real Time and Batch Analytics Platform.
  • Tailor analytics to specific supply chain functions, including supplier management and sourcing.
  • Infrastructure Automation using Ansible ,Terraform,Puppet and Chef.
  • Provides comprehensive user self-service capabilities to reduce the burden on IT resources.
  • Real Time Analytics Platform Deployment ON-Premises as well as Public Cloud.
  • Algorithms and Model Management by Creating hub On-Premises, Version Management, Logging Management.
  • Customised Data Visualisation with Business Intelligence.
Real-Time and Stream Analytics Service Providers
Data Analytics Solution for Stream and Real-Time Processing

AI Solutions for Retail and Supply Chain

Help to proactively identify and mitigate sources of risk on an enterprise scale. Armed with this information, executive management and boards will be better equipped to navigate challenging economic conditions. The workforce planning component provides insights and foresight into addressing current and future talent segment related challenges and development. Moreover, this offering applies analytics solutions to key talent processes.provide insights into how to improve store portfolio performance, based on characteristics of the real estate, formulas and socio/demographics of the catchment area.

  • Risk, Workforce & Geospatial Analytics
  • Store Optimisation
  • Tax analytics
  • Root Cause Analysis for excess inventory.
  • Re-configuration of network by identifying feasible network scenarios.
  • Optimisation of Merchandising and Store Operations
  • Devise inventory norms for all nodes in the Supply Chain.
  • Eliminate wastage and improve margins

Applications of AI for Retail and Supply Chain Management

Space Optimisation

Deals with Macro and Micro space analysis to improve store layouts and store planning as well as optimisation of shelf-space to assure most optimal arrangement of goods (individual placement of goods and relation to other goods on the same shelf).

Marketing Mix ROI Analysis

Focus on determining which marketing investments work and which are less effective. By reducing ineffective spend and intensifying high return marketing tactics, the marketing mix is optimised leading to higher return on overall marketing spend.

Promotion Effectiveness Analysis

Promotions are evaluated using advanced analytical techniques in order to better understand their effects and to reveal key drivers for effectiveness of promotions. Better understanding of promotion effects can also be used to forecast promotional sales.

Omnichannel Insights

Aimed at improving customer experience by providing a seamless and consistent shopping experience, improving customer loyalty and sales. By tracking the customer across online and offline channels, the customer is placed at the centre of all marketing activities.

Customer traffic analysis

Helps in Gaining insights into customer purchasing patterns to build incremental business strategies and drive long term loyalty.

Finance Analytics

Enable clients to model business processes and gain deeper insight into cost and profitability drivers through working capital and spend analytics.

Explore Our Customer Insights, Retail and Supply Chain Solutions & Use Cases

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