Polar Analytics & Avia partner to turn store traffic into proactive marketing and operational decisions

This integration brings Avia’s AI-powered store-traffic, conversion, and forecasting data into Polar’s analytics environment—connecting marketing, staffing, inventory, and sales so retailers can act before opportunities are missed.

Polar Analytics and Avia are partnering to close one of physical retail’s biggest intelligence gaps: store traffic, marketing performance, operational readiness, and sales have traditionally been analyzed separately. Together, retailers can connect Avia’s accurate foot-traffic data and traffic forecasts with ad spend, lifecycle marketing, staffing schedules, inventory positions, ecommerce, POS sales, and customer data.

The result is a connected view of demand, store readiness, and revenue. Teams can identify which campaigns generate incremental visits and sales, anticipate when staffing will not match expected traffic, flag inventory risks before demand arrives, and understand why some stores convert better than others.

Through Polar dashboards and AI-powered workflows, these signals can be monitored continuously—surfacing where retail teams need to act before traffic, conversion, or revenue is lost.

From demand generation to store readiness to purchase—with the context to act proactively.

How Avia and Polar work together

Avia uses on-device Vision AI to measure total foot traffic, unique visitors, average visit time, age and gender groups, and in-store conversion with greater precision than legacy motion- or heat-based traffic counters. Avia also produces hour-by-hour foot-traffic forecasts using historical store data alongside external factors such as weather forecasts, national holidays, and the brand’s own marketing calendar. This gives retailers an accurate, forward-looking view of demand that can inform staffing, inventory, and marketing decisions—turning foot-traffic intelligence into an operational advantage.

Because Avia is built natively into Shopify and Shopify POS, its real-time metrics and forward-looking forecasts are available in the systems retail teams and store associates already use. Polar brings those signals together with marketing, retention, ecommerce, sales, staffing, and inventory data—creating a shared intelligence layer for dashboards, Causal Lift testing, and AI-powered workflows.

Together, Avia and Polar give retailers the foundation to build agents that continuously monitor performance, anticipate issues, and surface where teams need to act—before traffic, conversion, or revenue is lost.

What retail teams can build with Avia + Polar

With store traffic, marketing, sales, staffing, and inventory data in one environment, retailers can build background agents that continuously watch for business conditions requiring proactive attention. For example:

Store-level marketing performance agent.

Monitor campaigns across locations and combine media performance with Avia traffic and POS sales. The agent can identify where a campaign is driving incremental visits and revenue, where the same campaign is underperforming, and where budget or store-level execution may need attention.

Staffing coverage agent.

Compare Avia’s rolling 14-day traffic forecast—which is retrained daily—with staffing schedules by store and time block. The agent can flag upcoming over- or understaffing and direct managers to add, reduce, or shift coverage before service and conversion are affected.

Inventory readiness agent.

Compare Avia’s forecasted traffic with store-level inventory positions to flag locations likely to face demand spikes without enough stock. Teams gain time to replenish or transfer the right products before traffic arrives and sales are lost.

Interested in seeing it in action? Contact us to explore what Avia + Polar could unlock for your stores: https://www.polaranalytics.com/integrations/avia