Industry

Retail

Drive smarter retail outcomes with mobility data

Better forecasting, operational improvements, and competitive intelligence start with understanding how customers actually move. But most retail data only captures fragments of that behavior. Arity helps retail brands such as QSR, big box chains, and fuel and c-stores move beyond partial signals by using mobility data to reveal and predict customers' routes and routines in the real world.

The problem

Your retail operations decisions are probably based on incomplete data.

Operations teams lack precision for staffing and planning

Intermittent data is insufficient for accurate planning.

Traditional data shows what happened but can’t predict what’s next

Mobility data gives retailers predictive power, helping operations leaders meaningfully forecast and capitalize on shifts in demand.

Foot traffic data overlooks short visits

Because foot traffic signals are intermittent; these traditional datasets miss seeing visits that matter.

Existing data lacks real-world context

Without understanding overall movement, it’s unclear what may be driving shifts in demand and sales.

How mobility data can help retail operations leaders

Mobility data, also called driving behavior data, fills a critical gap in how retailers understand demand. Without it, strategic decisions about operations are often based on partial signals, leaving opportunity on the table and limiting performance. By adding real-world movement, behavioral context, and predictive power, mobility data strengthens the decisions retailers are already making, helping them identify higher-performing locations, align operations to true demand, and capture more of the value in every market. It elevates foot traffic data by connecting individual visits to the broader customer journey.

What mobility data enables

It can help retail operations leaders make core strategic decisions with greater precision and impact.

Mobility data is designed to inform:

Staffing: Align staffing to real-world demand patterns (including non-purchasing visits), rather than historical sales.
Stocking: Tailor inventory and in-store execution to real-world trip intent and cross-shopping behavior.
Measurement: Evaluate performance based on demand capture, not just transactions, by seeing how much nearby traffic a store attracts or misses.
Benchmarking: Distinguish between low-demand locations and underperforming stores so that operational fixes are applied where they can drive the most impact.
Forecasting: Predict demand timing and fine-tune staffing to grow profitability.
Competitive intelligence: See not just what’s happening at your locations but also those of your competition, planning ahead for competitive impact.

Results

Benefits

Precision mobility data

Enable more accurate throughput modeling with minute-level dwell and trip paths for true market share intelligence.

Operational integration

Orchestrate operations centrally by connect mobility insights to staffing, layout, and KPI dashboards.

Predictive power

Help predict sales revenue by forecasting demand by daypart and optimize labor allocation.

Scalable and proven

Works across thousands of locations with clear ROI.

Privacy-first

Leverage Arity’s mobility data, which is aggregated and anonymized.

Who is Arity?

Arity is a mobility data and analytics company. We provide unmatched mobility intelligence for the retail sector — granular, real-world, consent-based driving behavior data that captures short visits and routes. Unlike modeled foot traffic, we deliver ground-truth insights others miss that directly improve operational KPIs.