Industries Retail

Bringing AI and ML to the Forefront of Retail

AI and ML technologies have the power to revolutionize the way you manage your retail operations — from sourcing to customer experience. With these technologies, you can analyze data from multiple sources, such as social media, online shopping behavior, and point-of-sale systems to understand customer preferences better. You can also optimize inventory management through demand forecasting, and streamline supply chain by optimizing shipping routes, reducing transit times, and minimizing the risk of stockouts or overstocking.

Rewrite Your Retail Success Story with AI

Daitrix's ML-powered solutions empower retail companies to stay ahead in a highly competitive landscape by driving revenue growth, reducing costs and risks, and improving operational efficiency.

Boost revenue growth through customer acquisition, cross-selling, upselling, and prevent churn with effective churn detection and management.

Cut costs with better spend visibility and drive better efficiencies in supply chain network and optimize inventory to power growth and sustainability.

Mitigate risk in supply chain and cash flow to boost operational efficiency, drive sustainable growth, and maximize profitability.

Improve store operations with inventory optimization to streamline processes, minimize stockouts, and improve CX and enhance customer loyalty.

Retail Industry Solutions

Customer segmentation

Develop and target micro-segments using past, look-alike, and market data by channel preference, day, and time of the week to improve reach and effectiveness, driving higher ROI and lower acquisition costs.

New customer acquisition

Data-led customer lifecycle driving lifetime value by optimizing loyalty programs and improving customer experience. Anticipate and reduce churn with predictive analytics.

Upsell and cross-sell

Improve customer upsell and cross-sell conversion rates using relevant and timely insights, including key drivers to boost sales and revenue growth and improve customer experience.

Churn mitigation

Anticipate and reduce churn with predictive analytics. Identify high-risk customers and key drivers, predict churn time frame to come up with retention strategies looking at historical data to reduce churn, lift revenue and recommend new product/service mix.

Customer lifetime value prediction

Make better decisions by understanding the potential lifetime value and looking at new products or services, including segmenting clients and investing disproportionately to promote stickiness and loyalty based on the lifetime value.

Cart abandonment

Gain valuable insights into customer behavior and identify patterns to proactively address cart abandonment, facilitate seamless checkout experiences, optimize conversions, and foster long-term customer loyalty.

Image features extraction

Harness Convolutional Neural Network (CNN) technology to extract features from product images as well find similar historical products to understand customers better, create new designs, and improve product quality.

LLM-GenAI capabilities

Leverage LLM-GenAI solutions to enhance operational efficiency, streamline workflows, and improve self-service for customers and employees. Benefit from LLM-powered expert systems, workflow automation, and NLP-based information retrieval, all while ensuring robust data privacy and security.

Agentic AI for store operations

Store operators can leverage AI to check stock availability, track order status, and locate supply chain bottlenecks. An NLP interface queries multiple back-end systems, enhancing in-store efficiency, operational excellence, and staff productivity.

Agentic AI-powered employee engagement and assistance

AI-powered tools streamline onboarding, training, and benefits optimization, ensuring happier and more engaged store employees, while reducing turnover and improving workforce efficiency.

Demand forecasting

Make real-time, accurate, and industry-specific demand forecasting through large, complex and historical datasets, enabling businesses to stay competitive, always.

Inventory optimization

Optimize stock levels, prevent overstocking or understocking, and minimize holding costs to drive maximum efficiency, cost reductions, and profitability.

Price optimization

Dynamic data-driven optimal pricing based on demand elasticity, including competitive pricing, yet within the threshold of consumer acceptance and aligned to business strategy.

Supply chain risk mitigation

Generate Insights to mitigate material, cash flow, and Information flow risks across siloed supply, inventory, and cash management systems using internal and external data.

Automatic call summarization

LLM-GenAI-powered automatic call summarization achieve call summaries for all calls, saving 50% call wrap-up time on average to increase productivity and ensure consistent documentation for efficient resolutions.

Real-time sentiment analysis

Analyze call interactions' sentiment to gauge customer satisfaction levels, enabling real-time corrective actions for improved overall satisfaction.

100% Call scoring

Score all calls consistently, identify areas of improvement, and promote best practices to enhance customer experience, agent performance, and new agent onboarding.

Comprehensive agent insights

Assess agent performance using insights on first-call resolution rate, politeness, call hygiene, and agent comparisons, while informing corrective actions as needed.

Business-specific call reason

Prepare agents to identify precise reasons for customer calls. Capture accurate, multi-tiered call-reasons without any human bias. Acquire a better understanding of the motives behind customer calls.

Call center workforce optimization

Optimize staffing with multilingual agents, predict language needs for incoming calls, and route to skilled representatives efficiently.

Enhanced spend analytics

Enhanced spend and savings visibility with industry-specific taxonomy customizable for your business needs. Automated ML-based categorization for faster, higher spend categorization.

Actionable savings recommendations

ML generated actionable recommendations to cut costs and de-risk with continuous learning. Unique vendor identification for better-negotiating leverage.

Working capital payment term optimization

Strengthen working capital with payment term optimization, optimizing payment terms, maximizing cash, avoiding penalties, and negotiating favorable discounts to enhance liquidity.

Credit risk decisioning

Accelerate credit decisions, enhance risk assessments, and improve financial inclusivity using Machine Learning and multiple sources of data for scalability and accuracy.

Are you ready for the Retail Renaissance?

Retail

Bringing AI and ML to the Forefront of Retail

Rewrite Your Retail Success Story with AI

Retail Industry Solutions

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