Data-Powered Retail for the Digital-First Customer
Retail is evolving fast—with omnichannel journeys, personalized experiences, and real-time inventory needs. Heliosz.AI helps retailers harness data to predict demand, personalize engagement, and optimize operations across channels.
Gain a 360° view of customer behavior and preferences across all channels. Customer and marketing analytics enable retailers to segment audiences, predict buying intent, and personalize campaigns in real time. By leveraging data from web, in-store, loyalty programs, and social media, you can craft highly targeted experiences that increase retention and lifetime value.
Group audiences by behavior, value, or demographics for tailored messaging
Identify what works, what doesn’t, and allocate budgets better
Use historical and behavioral data to flag and retain at-risk customers
Predict and prioritize customers by long-term value potential
Ensure the right products are on the right shelves, at the right time. Our analytics capabilities empower merchandising teams to balance customer demand with inventory constraints, optimize assortments by region or store, and streamline SKU rationalization. This results in higher turnover, lower markdowns, and increased margins.
Analyze sales by category, region, or time for better assortment decisions
Eliminate underperforming products while boosting high-demand items
Tailor product offerings based on local preferences and store behavior
Predict how price changes affect sales and profitability
Inventory inefficiencies can cost retailers millions. Supply chain analytics helps mitigate these risks by delivering real-time visibility, demand-supply alignment, and predictive logistics. With AI-driven forecasting and stock optimization, you can reduce carrying costs, avoid stockouts, and ensure seamless operations from warehouse to storefront.
Predict product demand based on trends, seasonality, and sales history
Automate replenishment and align stock levels with demand patterns
Identify bottlenecks, optimize fulfillment routes, and lower costs
Monitor reliability and efficiency across vendor networks
Brick-and-mortar still matters—but only when it runs efficiently. Our store performance analytics uncover insights into traffic patterns, staff productivity, POS efficiency, and store-specific sales. Retailers can optimize operations, reduce overheads, and drive store-level profitability by acting on timely data.
Track store traffic trends and conversion rates to improve layouts and campaigns
Measure staff engagement, effectiveness, and sales performance
Understand which factors affect conversion from entry to purchase
Analyze ROI of in-store promotions at the store, region, or chain level
Retailers today need more than historical dashboards. Predictive and prescriptive analytics help you forecast future trends and prescribe the best course of action using AI and ML. From demand planning to pricing strategies, this capability helps minimize risk, optimize resources, and maximize profitability.
Use AI models to predict short- and long-term sales with high accuracy
Adjust prices dynamically based on inventory, demand, and competition
Simulate decisions and evaluate their impact before execution
Get recommended actions tailored to your specific retail objectives
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LogisticsNew Revenue$10 MillionConfluent Cloud’s real-time data integration -
IT TechnologyCost Reduction48.3%Projected annual operating cost -
LogisticsEfficiency Enhancement40%Overall operational efficiency improvement -
LogisticsData ProcessingUnder 1 MinuteWith a custom cloud-based TMS -
RetailCost Reduction40%Utilization of Confluent’s Cloud -
TransportationCost Reduction20%Infrastructure cost cutting with Confluent -
ManufacturingCost Savings35%Reduced Kafka operational costs
Data-powered retail transformation starts with the right partner.
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TransportationSafer, smarter journeys through data-driven planning and operational efficiencyKnow More -
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