ElectrifAi | TMT Industry

From binary to brilliance: How AI can redefine the TMT landscape?

With AI and ML, the TMT industry can surge ahead to unlock boundless possibilities, where data becomes intelligence, content creation reaches new frontiers, and engagement is taken to extraordinary heights. Imagine unlocking the power of massive datasets, generating automated content, and captivating audiences with personalized experiences. By embracing these transformative technologies, TMT companies can stay ahead in a highly competitive landscape, deliver exceptional experiences, and unlock new avenues for growth and innovation.

Unlock new frontiers with pre-built ML solutions

ElectrifAi’s ML-powered solutions empower TMT companies to stay ahead in a highly competitive landscape by driving revenue growth, reducing costs and risks, and improving operational efficiency

Boost revenue growth with multi-dimensional customer segmentation and targeting, strategic cross-selling and upselling, dynamic pricing, cart abandonment prevention, effective loyalty programs, and churn mitigation

Cut costs with inventory and supply chain network optimization, demand forecasting, call summarization, spend analytics, contract analytics, and staff scheduling

Mitigate risks and disruptions in supply chain operations, contractual agreements, supplier/vendor management, price volatilities and market dynamics, and other emerging markets

Improve operational efficiency by optimizing and streamlining marketing campaigns and initiatives to maximize conversions and scoring all calls to promote best practices and enhance agent performance

Featured Solutions

Advanced customer segmentation and targeting

Utilize multi-dimensional customer segmentation to enhance conversion rates, while employing look-alike modeling to categorize new customers effectively

Comprehensive campaign optimization

Streamline marketing initiatives and budget allocation to maximize conversions through propensity modeling, channel selection, multi-campaign optimization, and campaign parameter fine-tuning

Strategic cross-selling and up-selling

Harness data-driven insights to present existing customers with new products, services, or bundled offerings, increasing wallet share, transaction frequency and size, and fostering a long-term strategic relationship

Proactive churn mitigation and inactive customer activation

Minimize customer attrition by identifying and addressing churn factors, and re-engaging inactive customers with tailored solutions to promote customer growth while reducing acquisition costs

Cart abandonment prevention

Enhance conversion rates at every stage of the sales funnel, ultimately leading to successful transactions

Customer loyalty maximization

Expand and amplify loyalty program impact by leveraging AI/ML-generated insights. Develop and implement timely, relevant offers and rewards based on customer segments to encourage participation and engagement

Customer lifetime value forecasting

Accurately predict potential customer lifetime value, enabling prompt identification of high-value new customers and strategic efforts to increase their LTV for informed decision making

Demand forecasting

Boost free cash flow by enhancing sales and minimizing slow-moving inventory, utilizing accurate attribute-based forecasting that accounts for regional trends, historical data, pricing, and sourcing dependencies

Inventory optimization

Inventory management to prevent overstock and backlogs while maintaining service levels, leveraging predictions of customer behavior, purchasing patterns, and market dynamics to determine optimal safety stock

Supply chain network optimization

Improve efficiency in freight, logistics costs, warehouse site selection, and SKU configuration. Boost inventory throughput with streamlined freight and logistics turnaround times

Supply chain risk mitigation

Generate insights to address material, cash flow, and information flow risks across isolated supply, inventory, and cash management systems, using a combination of internal and external data sources

Call summarization

Achieve call summaries for all calls, saving up to 10% time on average, increasing productivity, and ensuring consistent documentation for efficient resolutions

Sentiment analysis

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

Call scoring

Score all calls consistently, identifying improvement areas and promoting 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, 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

Dynamic pricing

Dynamic data-driven optimal pricing based on demand elasticity, consumer price perception, competitor pricing, and the most optimal pricing within the threshold of consumer acceptance

Staff scheduling

ML-powered workforce management recommends the type and headcount of retail staffing levels based on predicted foot traffic by store location, past track record, and seasonality

Spend analytics

Uncover negotiating leverage, provide actionable recommendations for savings, and de-risk the supply chain with ML-powered spend analytics

Contract analytics

Identify risks, and improve decisions by reading, analyzing, and comparing commercial contracts using AI to deliver business-critical insights

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