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The retail decisioning layer

One system decides what each shopper sees. Most retailers run four or five separate tools.

Search in one tool, recommendations in another, pricing in a third, ads bolted on top — nobody owns the order products appear in, and the margin leaks between them. Particular Audience replaces that patchwork with a single decision: a Unified Decision Engine that scores relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

Lost Revenue & Stockouts

The merchandise insights and user experience automation required to automate best next item promotion, allocation and make better buying decisions.

Data Services

Stockouts, Overstocks & Abandonment

Now you can get the insights you need to take appropriate action on merchandise promotion, allocation and purchase depth.

You can convert more high-intent shoppers through similar item discovery when their size, variant or SKU is unavailable.

OUT OF STOCKS

A $984bn Problem

According to IHL, retailers alienate customers and lose billions due to poor inventory practices. Costing retailers an estimated $984bn globally.

Read The Report

ADAPT

Rescue Lost Sales

See Similar applied to Out of Stock items rescues otherwise lost sales, abandonment and reduces otherwise high bounce rates from critical traffic sources such as Google Shopping.

Solve for regional and variant depth availability limitations.

LEARN MORE ABOUT SEE SIMILAR Play Video

OOS See Similar

Out-of-Stock See Similar

See Similar buttons increase engagement and click-throughs from listing pages, SERP, and product recommendation carousels, by enabling real-time, in-moment, customer-led discovery of similar items.

Crucially, on OOS size variants we were able to filter next best item to customers, increasing session conversion rate proportionate to stockouts at that time.

\Revenue uplift depends on % OOS e.g. for fashion retailers, if you have 50% stockouts, this can double sales. If you have 20% stockouts this can increase sales +25%. 10% ~ +11%, etc.

OOS See Similar

60.1%

Click Through Rate

2.5%

Click Conversion Rate

1.4%

Recovery of Lost Sales\

INSIGHTS & ANALYTICS

Increase Cash on Hand & Reduce Markdowns

Leverage PA's Boost Merchandising across our Search, Merch and Recommendation product areas to move stock \ before\\ you need to put it on markdown.

Learn More About Boost Merchandising

ANALYTICS

Make Informed Decisions

Now you can get the insights you need to take appropriate action on merchandise promotion, allocation and purchase depth.

Particular Audience leverages your omni-channel transactional, search and browse data to understand how your merchandising, assortment, allocation and availability helps or hinders your retail business.

LEARN MORE ABOUT MERCHANDISE ANALYTICS

OUT OF STOCKS

50%of all store purchases start online 21%of online orders are picked up instore 1/3shopping trips experience out-of-stocks $984bnestimate cost of global stockouts $24.2bnof capital tied up in safety stock 7-15%of inventory on the balance sheet is tied up

Analytics-as-a-Service

Choice Modelling

Optimize assortment by looking at the sale rate of items against one another, when both items are considered in a journey.

Dependency Modelling

Identify items whose availability is depended upon for the sale of other items. Reducing the impact of stockouts on associated item conversion.

Allocation Intelligence

Geo-local stock depth analysis informs buying teams and merch migration decisions. Helping you meet demand, enable BOPIS and leverage store base fulfilment to minimize landed cost.

Demand Forecasting

Stock depth and size analysis leveraging year-over-year trend data.

Product Area Analysis

Measure how boost and recommendation tactics influence Value per Unit and associated metrics.

Basket Mix Analysis

Measure how bundling, boost and recommendation tactics influence basket mix and basket margin.

AI powered contextual commerce

Exceptional eCommerce starts here.

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