AI shelf intelligence for pharmacy & beauty

The right product. The right place. Down to the detail.

Pharos turns shelf photos into a clearer view of product presence, placement and visibility. Built around pharmacy and beauty ranges, it helps field teams spot execution gaps and focus their next action.

Request a pilot See a shelf example

For brands and merchandising agencies. Starting with Greek pharmacy and beauty retail.

A captured shelf of hair colour with recognition boxes drawn around each detected facing. One box is flagged: shade 6.1 was found where shade 6.0 was expected.

The problem

Small product differences can change the whole picture

A familiar pack can hide a different product. The next hair-colour box may be another shade. The next supplement bottle may contain a different strength or tablet count. Those details change what belongs on the shelf—and whether your agreed range is really represented.

Pharos focuses on the product distinctions that matter to pharmacy and beauty teams, connecting shelf recognition with merchandising checks and reporting.

Make every visit more useful

Check the agreed range

Compare detected products with the assortment expected at each location, and identify potential gaps for review.

Understand your shelf presence

Track facings, placement and share of shelf across the fixtures your team captures.

Focus follow-up

Give field teams and managers a shared view of execution gaps, so they can decide what needs attention next.

How it works

From shelf photo to next action

Capture

Photograph the shelf during a normal store visit.

Compare

Match visible products to your catalogue and check them against agreed merchandising rules.

Act

Review the findings and prioritise follow-up by store, brand or territory.

Explore the platform

Illustrative example

What a useful shelf finding looks like

Expected: Hair colour, shade 6.0, two facings.
Observed: Shade 6.1 detected in the expected position; shade 6.0 not detected in the captured area.
Next action: Check the placement and confirm whether shade 6.0 is available to replenish.

A shelf can look full while the agreed variant is missing. The detail is what makes the finding useful.

Two rows compared. The expected row shows two facings of shade 6.0. The observed row shows shade 6.1 in those positions, flagged, with shade 6.0 not detected in the captured area. — Illustrative example. Findings depend on your catalogue, the merchandising rules you agree and the shelf area captured.

Built around the people doing the work

For brands

See how your agreed range and displays are represented across store visits. Give brand and field teams a common basis for execution conversations.

For merchandising agencies

Bring greater consistency to shelf checks and client reporting, with findings organised around each brand’s merchandising requirements.

Start with your shelves

Choose a category, a representative group of stores and the questions you need answered. Together, we will define a pilot that tests Pharos against your products, shelf conditions and workflow.

Request a pilot See pricing

Agree the scope, measures and cost before the pilot begins.