Retail Stores

Run stores with AI-ready retail intelligence.

PathAnalytics gives retail operators a single view across POS, stores, inventory, consignment, store-specific online sales, customers, buyers, locations, transactions, returns, and field workflows.

Improve sell-through, compare store performance at any level, identify local demand and upsell opportunities, and decide what should stay in-store or move online based on demand and price performance.

Store Operating Decisions

Turn store data into local actions.

Designed for retailers managing store performance, local demand, inventory movement, and field execution.

POS & Store Cluster Analytics

Benchmark sell-through by store cluster, region, and category. Track transactions, cashier activity, basket behavior, returns, and local trend changes.

Store-to-Marketplace Workflows

Trigger Store Inventory Rescue actions for items sitting more than 60 days in store locations, automatically generating listing plans to move slow stock to online marketplaces or high-velocity stores.

Footfall-to-Conversion & Price Affinity

Map store footfall traffic directly against POS conversion rates to analyze price affinity, product placement impact, and localized demand shifts.

Customer, Buyer & Upsell Insights

Connect customer behavior, buyer activity, store location, basket patterns, and localized assortment performance to targeted upsell opportunities.

Store Cluster Benchmarking

Benchmark store clusters, regions, categories, SKUs, associate performance, consignment programs, and store-specific online sales to replicate best practices.

Ask Retail Copilot

Ask why specific store clusters missed plan, which locations need stock transfers, what price points convert best, and where sell-through is slowing.

For Store Teams

Retail workflows, not another report queue.

Give store operators, merchandisers, and regional leaders a shared operating view of what changed, why it changed, and what needs action.

PathAnalytics turns store signals into inventory moves, upsell opportunities, pricing review, field follow-up, and executive visibility.

Protect sell-throughFind aging items, demand gaps, and location-level slow movers before they become markdown problems.
Benchmark store clustersCompare sell-through by store cluster, region, category, SKU, associate, or time window to know where locations stand.
Map footfall to price affinityAlign footfall traffic with POS checkout conversion to pinpoint price affinity and optimize store pricing strategies.
Execute store-to-marketplace actionsAutomatically generate listing and transfer workflows for items sitting more than 60 days in store locations to capture online marketplace demand.
Retail Teams

Make every store easier to understand and improve.

See how PathAnalytics helps retail teams compare stores, forecast local demand, identify upsell opportunities, move inventory to demand, and improve sell-through.

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