Author Archives: vvatchara

Retail Customer Service: Strategy, Benefits & Best Practices

Whether it’s browsing online and completing the purchase in-store or vice versa, omnichannel retailing offers the flexibility and convenience that modern consumers demand. By leveraging this wealth of information, retailers can tailor their interactions with customers across channels, delivering personalised recommendations, targeted promotions and proactive support that resonate on a personal level. Retailers can use […]

Grid Modernization and the Smart Grid Department of Energy

Utilities are moving beyond pilots toward full‑scale deployments of connected sensors, asset health monitoring, and real‑time analytics. Electric utility infrastructure modernization is no longer optional, it’s mission‑critical. Plus, they’re expecting a 1.4M reduction in customer churn per year and up to 23M in potential annual operational savings. We built a new content management service to […]

HRIS 101: All You Need To Know in 2026

Its main goal is to improve operational efficiency and data accuracy, but it typically handles fewer complex workforce management functions. Human Resources Information System (HRIS), Human Resource Management System (HRMS), and Human Capital Management (HCM) reflect different scopes and functionalities of HR technology solutions. AI-powered HRIS platforms offer predictive insights, such as forecasting turnover risks, […]

What is Data Analytics? Data Analytics Explained

Here are some steps to help you get started, focusing on the resources available at DataCamp. Sitting right between the data analyst https://esportsgrind.com/gamer-money-management/financial-ratios-for-beginners-understanding-key-metrics-for-smarter-decisions/ and the data engineer, this role has exploded in popularity. We’ve got a complete guide on how to become a data scientist, which outlines everything you need to know about starting your […]

15 AI in Retail Examples in 2026: Amazon, Walmart, Sephora & More

AI models can learn from historical sales data, observe niche markets and consumer shifts in real time, and predict demand trajectories. Demand forecasting often struggles to keep pace with shifting consumer expectations and market trends, requiring fast responses. It had to observe cultural shifts for new products and services, deploying them within a relevant timeframe. […]