Verity for beauty retail
Beauty retail runs on brand relationships: assortment, promoter staff, samples and support all come from the brands. Verity measures what each brand actually contributes against the space and support it consumes.
Runs alongside your existing billing and brand arrangements.
Verity / Store
LiveSales
₹22 L
Sales per promoter
₹1.9 L
Sampling cost
₹1.4 L
Brand support due
₹3.2 L
Needs attention
Illustrative figures. Verity shows your own store in this shape.
How the business runs
A multi-brand beauty store is not simply a retailer of beauty products. It is a floor divided among brands who supply the assortment, frequently fund the staff standing at their counter, provide samples and testers, and offer support against sales targets. What the store actually earns from each brand depends on all of those together, and almost no store measures them together.
Promoter productivity is the clearest case. Brand-funded staff occupy counter space and represent one brand each, and their output varies enormously — from sixty-four thousand to four point two lakh a month in the same store. A promoter producing a quarter of the average is occupying prime space regardless of who pays their salary.
The second is sampling. Samples and testers are a genuine cost, partly recoverable from brands under support terms, and usually issued informally. One point four lakh of sampling against ninety-six thousand recovered is a real gap.
The third is support claims, which are time-bound and assembled from purchases and sales the store already records.
The fourth is repeat purchase. Beauty consumables are refill businesses, and a category whose repeat rate is falling is losing customers before it is losing sales.
Verity measures brand contribution against space, promoter output, sampling cost and repeat purchase together.
What Verity calls these things
What gets in the way
Beauty retail difficulties come from measuring sales by brand and cost by store, so contribution is never assembled.
Promoter productivity is not compared
Brand-funded staff vary enormously in output and occupy prime counter space regardless of who pays them.
In Verity Sales attributed to the promoter and the counter, so productivity per counter is comparable.
Sampling is issued informally
Samples and testers are real cost, partly recoverable, and given out at the counter without a record.
In Verity Samples are recorded issues against brand and counter, so cost and recovery are measurable.
Brand support goes partly unclaimed
Support is earned against purchases and sales within windows and assembled by hand, so some is always missed.
In Verity Support terms sit on the brand and claims are assembled from the records before windows close.
Space is allocated by relationship
Counter and shelf space is negotiated with brands rather than allocated on contribution.
In Verity Contribution per counter and per shelf metre is measurable, so negotiation has a number behind it.
Repeat purchase is not tracked by category
Beauty consumables are refill businesses, and a falling repeat rate precedes falling sales by months.
In Verity Repeat rate is measured by category and customer, so decline is visible early.
Expiry sits across many brands
Short-dated stock accumulates across twenty brands with different return terms.
In Verity Batch dates and brand return terms sit together, so recovery is possible per brand.
The complete system
One system across brands, promoters, sampling and customers.
Records
Each brand carries its assortment, counter space, promoter arrangement, support terms, targets and claim windows.
Why it matters here Brand contribution is the store’s real unit of analysis and is spread across four separate arrangements.
In practice Six brands with support unclaimed and windows closing.
People
Staff including brand-funded promoters are modelled once, with sales, samples and service attributed.
Why it matters here Promoter output varies by a factor of six in the same store and is rarely compared.
In practice Two promoters producing under a quarter of the store average.
Inventory
Stock is held by product, shade and batch with expiry, brand return terms, counter and tester state.
Why it matters here Multi-brand expiry is a set of different return terms rather than a single policy.
In practice Short-dated stock by brand against each brand’s return window.
Orders
Transactions record product, shade, brand, counter, promoter and customer; sample issues are recorded the same way.
Why it matters here Sampling is a cost and a support claim, and both need the issue recorded.
In practice One point four lakh of sampling cost against ninety-six thousand recovered.
Relationships
Customers carry purchases, shades, categories, repeat intervals and preferences.
Why it matters here Beauty consumables refill on a cycle, which makes repeat rate the leading indicator.
In practice Repeat rate falling in two categories before sales follow.
Workflows
Support claims, target reconciliation, returns to brand and write-offs move through defined steps.
Why it matters here Support is time-bound and assembled from records the store already holds.
In practice A claim assembled from qualifying sales before the window closes.
Locations
Counters are locations with their own space, stock, promoter and sales.
Why it matters here Space is the shared resource and counters are how it is divided.
In practice Contribution per counter, comparable across brands.
Reports and analytics
Contribution by brand after support and sampling, promoter productivity, repeat rate by category, expiry exposure and space return come from the records.
Why it matters here A store negotiating with twenty brands needs a number per brand.
In practice Contribution per counter after support earned and sampling cost.
Verity AI
Verity AI answers from your own brand, sales, sampling and customer records, respects permissions, and can create assigned follow-ups.
Why it matters here The valuable questions cross brand, counter and customer at once.
In practice "Which brands have unclaimed support?" returns six with claims raised.
Suppliers
Brands carry their orders, delivery reliability, return terms, support settlements and balances.
Why it matters here The brand is both a supplier and a partner, and both sides need one record.
In practice Support earned against support settled by brand.
Control
One permission model and one audit trail across every record.
Why it matters here Sampling and discounting both happen at counters staffed by people the store does not employ.
In practice Sample issues carrying the counter, promoter and brand.
Communication
Notes and activity attach to the brand, counter or customer they concern.
Why it matters here Brand instructions and customer sensitivities both arrive verbally at a counter.
In practice A recorded customer sensitivity, visible at any counter.
Work in motion
These already happen. Recorded per brand, contribution becomes negotiable.
A brand relationship is negotiated better with a contribution number than with a sales number.
Who pays the promoter does not change the cost of the space they occupy.
Sampling is a real cost that is partly recoverable and almost never fully claimed.
The records already exist; assembling them at the deadline is what loses the claim.
Repeat rate falls before sales do, which makes it the useful early signal.
Verity AI
Verity AI reads the same brand, sales, sampling and customer records the store creates as it trades. It answers per brand and counter, respects permissions, and can turn an answer into claims and conversations.
Verity / Ask
Verity AI only returns what the person asking has permission to see.
Without chasing
Each runs from the store’s own records at the point the condition is met.
When
A support window approaches its close
When
A promoter falls below the productivity threshold
When
Sampling cost exceeds recoverable support
When
A batch approaches a brand return window
When
A customer passes their refill interval
What you can understand
Brand contribution and repeat behaviour from the floor’s own records.
All of it comes from recording the sale, the sample and the counter they belong to.
One system, different ways of seeing it
Everyone works from the same records.
Owner
What is each brand actually worth?
Contribution per brand and counter, support claimed, sampling recovery, space return.
Store manager
Which counters are working?
Promoter output, sampling issued, expiry by brand, repeat rate by category.
Beauty advisor
What does this customer use?
Customer shades and preferences, refill intervals, availability, samples appropriate to them.
Where it is used
Sales, support, sampling and space assembled per brand, so a brand relationship is negotiated with a contribution number.
Output per counter compared across brand-funded staff, since the space they occupy costs the store regardless of who pays them.
Samples recorded as issues against brand and counter, so the cost is measurable and the recoverable portion is claimed.
Terms on the brand with claims built from existing records before the window closes.
Refill intervals by customer and category, since repeat rate falls before sales do.
Batch dates against each brand’s own return terms rather than a single store policy.
Plain-language questions across brands, counters, sampling and customers, with claims raised in the same step.
Getting there
Your billing setup and brand agreements continue and are mapped during implementation. Brands with support terms, counters, stock by batch, promoters and customers are brought across, and Verity is introduced as the operational layer.
Implementation runs about four weeks: discovery and mapping, configuration, migration, then an ongoing operations partnership.
Questions
Verity AI answers questions from your own brand, sales, sampling and customer records: contribution per brand after support and sampling, which promoters produce least, which brands have unclaimed support, what sampling costs against recovery. Each answer can become a claim or a brand conversation.
A cosmetics store’s hardest problem is the shade matrix and expiry. A multi-brand beauty store’s hardest problem is brand economics: assortment, promoter staff, sampling and support all come from brands, and what the store earns from each depends on all four together.
Because the counter space a promoter occupies costs the store regardless of who pays their salary, and output varies by a factor of several across counters in the same store. That is a space allocation conversation with the brand.
Samples and testers are recorded as issues against brand, counter and promoter, so the cost is measurable and the portion recoverable under support terms can be claimed rather than absorbed.
Support terms sit on the brand with claim windows, and claims are assembled from the purchases and sales the store already records — which is the difference between claiming fully and claiming what someone remembers.
Beauty consumables refill on a cycle, so a category’s repeat rate falls before its sales do. Measuring repeat by category and customer gives months of warning that a sales number does not.
No. Billing continues and is mapped during implementation. Verity holds brands, counters, stock, sampling, customers and the reporting across them.
About four weeks: discovery and mapping of brand arrangements and counter structure, configuration of support terms, migration of stock and customers, then an ongoing operations partnership.
It usually reorders which brands look important. Tell us how brands are assessed today.