AI Retail Analytics Platform for Business Performance

An internationally recognized lingerie brand assumed its in-store shoppers were primarily women and staffed accordingly. After deploying Areonic Vision Cloud, analytics revealed that 70% of store visitors were men — shopping for partners. The brand rebalanced sales associate gender mix to better match its true customer base, resulting in a 50% increase in conversion rates

A fashion retailer tested two digital window display creatives using Areonic’s Footfall module as an A/B testing tool. Within just four hours, analytics revealed a clear winner. The selected creative increased walk-in conversion by 32% and the retailer has since embedded this testing approach as a standard operating practice for every seasonal window launch

A high-end restaurant created a VIP list in Areonic Vision Cloud’s AI+ Suite Faces module and tagged high value and loyal patrons by name. When someone on the list arrives, Areonic AI+ Suite sends an alert to managers and front-of-house staff, enabling immediate personal greetings and tailored service. The result is a consistently elevated guest experience that makes VIPs feel genuinely recognized — and keeps them coming back

A national electronics retailer rolling out 170+ new stores needed to build staffing models from scratch — without historical data. By deploying Areonic’s AI Suite «Counter» module from day one, the chain captured granular foot traffic patterns across every location. Within weeks, store managers could leverage each store’s foot traffic data to continuously refine staffing plans, quickly leading to the reduction of overstaffing during slow hours and eliminating coverage gaps during peak periods. Within three months, labor cost per store dropped by an estimated 12%, while customer wait times shortened measurably.

A pharmacy chain with 300+ locations struggled with inconsistent staff presence behind the counter — leading to missed consultations, unattended checkout lanes, and lost revenue during peak hours. After deploying Areonic’s AI+ People module, district managers received automatic alerts whenever a counter went unattended beyond a set threshold. Within two months, staff coverage compliance rose to 94%, customer complaints about wait times dropped, and the chain attributed a measurable uplift in average transaction value to more consistent service availability at the counter.

A gas station network with 3,000+ locations used Areonic OpsPilot with speech analytics at a regional cluster of six stations to understand why loyalty card enrollment rates varied wildly across sites. OpsPilot transcribed and scored every cashier–customer interaction against a defined sales script, flagging missed upsell prompts and inconsistent greetings. Analysis showed sites whose cashiers adhered well to the customer interaction protocols, performed 22% better with loyalty card sign-ups. Even better, OpsPilot was able to identify the top-performing conversation patterns, which were then built into training materials for a nationwide rollout.