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 RetailAi

ElectrifAi’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 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

Featured Solutions

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Customer acquisition, growth, and retention

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 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

Customer lifetime value

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

Inventory optimization

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

Demand forecasting

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

Dynamic pricing

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

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

Achieve call summaries for all calls, saving 50% call wrap-up time on average to increase productivity and ensure consistent documentation for efficient resolutions

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

Real-time sentiment analysis

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

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

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

Customer-centric trending topics

Extract trending topics from calls automatically to prepare and equip agents with the knowledge to address anticipated issues effectively

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

Value Proposition

With low upfront investment, quick ROI, and enhanced operational efficiency, our solutions help you unlock the true potential of data to drive superior business outcomes in just 6-8 weeks