As Generative AI evolves into an even bigger, more sophisticated technology, it can transform retail operations by analyzing customer data and generating personalized product recommendations and offers for individual shoppers by curating custom journeys to help retailers increase sales and customer loyalty.
Enable Supply Chain Intelligence and enable demand forecasting for deriving better outcomes
Tailored analytics to specific supply chain functions, including supplier management and sourcing
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 with Version Logging and Management
Customized Data Visualization with Business Intelligence
Building Digital Strategy for Retail and Supply Chain Industry
Focuses on analyzing 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.
Translates company strategy into financial projections and scenarios by developing Financial Forecasting based on inputs from other analyses such as market analysis, store potential and assortment planning, combined with external drivers.
Focuses on how demand varies at different price levels and with additional promotion/rebate offers and determines optimal prices throughout product/service life cycle and customer segment.
Solutions for Improving Customer Satisfaction and Network Performance
Deals with Macro and Micro space analysis improve store layouts and store planning and optimization of shelf-space to assure the most optimal arrangement of goods (individual placement of goods and relation to other goods on the same shelf).
Focus on determining which marketing investments work and which are less effective. By reducing inefficient spending and intensifying high return marketing tactics, the marketing mix is optimized, leading to a higher return on overall marketing spend.
Promotions are evaluated using advanced analytical techniques to understand their effects better and reveal critical drivers for the effectiveness of advertisements. A better understanding of promotion effects can also be used to forecast promotional sales.
They aim to improve 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 center of all marketing activities.
Helps in Gaining insights into customer purchasing patterns to build incremental business strategies and drive long-term loyalty.
Enable clients to model business processes and gain deeper insight into cost and profitability drivers through working capital and spend analytics.
Artificial intelligence (AI) is fast altering the retail industry by enabling businesses to personalise customer experiences, optimise supply chains, and improve operational efficiency. AI is enabling retailers to obtain important insights into customer behaviour and preferences, which can then be utilised to build more targeted and effective marketing efforts, using chatbots and virtual assistants, predictive analytics, and computer vision.
23 March 2023
Find out more about how your enterprise can enable Generative AI in the business to improve automation, boost personalization and sustainability.
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Automate actions to uncover the unknown
Transform processes to move at market speed
Accelerate business outcome with more accurate predictions in real time