Build a Custom Boutique Dashboard Using AI in Minutes
Turn a plain-English description of your Boutique Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Boutique Dashboard
Sell through measured against time on the floor, so a slow style is caught in week three.
Sell Through against Time on Floor
Rate of sale is measured from delivery date, so a slow style is identified in week three rather than at the end of the season.
Size Curve Compared
Sizes sold are compared with sizes bought, which is how a buying pattern that leaves unsellable stock every season gets corrected.
Markdown Modelled before It Is Needed
Margin retained at each reduction level is calculated, so a markdown is a decision rather than a reaction in the final weeks.
Customer Preferences Recorded
What each regular customer buys by brand and size is held, which is what makes a call about new stock worth making.
Lapsed Regulars Surfaced
Customers who used to visit and have not returned are identified while a contact still has a reasonable chance of working.
Brand Performance across Seasons
Sell through and full price share by brand build over time, which is the evidence a buying decision should rest on.
Boutique Dashboard Use Cases You Can Build in Minutes
Spot the Slow Style in Week Three
Sell through percentage by style, colour and size against weeks since delivery, styles ahead of and behind the rate needed to clear by season end, sizes selling out first, styles with no sales at all and the rate of sale that would justify a reorder.
window.awbMockup = { sellThrough: "Build a boutique dashboard showing sell through percentage by style, colour and size against weeks since delivery, styles ahead of and behind the rate needed to clear by season end, sizes selling out first, styles with no sales at all, and the rate of sale needed to justify a reorder.", markdownExposure: "Build a boutique markdown dashboard showing stock at risk of ending the season unsold with its cost value, styles where a small reduction would likely clear remaining units, margin retained at each possible markdown level, discount already given as a share of sales, and the total exposure if current slow sellers are not cleared.", customerClienteling: "Build a boutique customer dashboard showing your best customers by spend and visit frequency, what each has bought by brand, style and size, customers not seen in three months who used to visit regularly, customers whose preferred brands have new stock arriving, and average spend per visit by customer group.", buyingDecision: "Build a boutique buying dashboard showing sell through and margin by brand and category over the last four seasons, brands consistently delivering full price sales against those needing markdown, size curve sold against size curve bought, categories where you consistently run out too early, and the open to buy remaining for the coming season."};
Decide the Markdown Rather Than React to It
Stock at risk of ending the season unsold with its cost value, styles where a small reduction would likely clear the remainder, margin retained at each markdown level, discount already given as a share of sales and total exposure if nothing clears.
window.awbMockup = { sellThrough: "Build a boutique dashboard showing sell through percentage by style, colour and size against weeks since delivery, styles ahead of and behind the rate needed to clear by season end, sizes selling out first, styles with no sales at all, and the rate of sale needed to justify a reorder.", markdownExposure: "Build a boutique markdown dashboard showing stock at risk of ending the season unsold with its cost value, styles where a small reduction would likely clear remaining units, margin retained at each possible markdown level, discount already given as a share of sales, and the total exposure if current slow sellers are not cleared.", customerClienteling: "Build a boutique customer dashboard showing your best customers by spend and visit frequency, what each has bought by brand, style and size, customers not seen in three months who used to visit regularly, customers whose preferred brands have new stock arriving, and average spend per visit by customer group.", buyingDecision: "Build a boutique buying dashboard showing sell through and margin by brand and category over the last four seasons, brands consistently delivering full price sales against those needing markdown, size curve sold against size curve bought, categories where you consistently run out too early, and the open to buy remaining for the coming season."};
Make the Call About New Stock Worth Making
Your best customers by spend and visit frequency, what each has bought by brand, style and size, customers not seen in three months who used to visit regularly, customers whose preferred brands have new stock arriving and average spend per visit.
window.awbMockup = { sellThrough: "Build a boutique dashboard showing sell through percentage by style, colour and size against weeks since delivery, styles ahead of and behind the rate needed to clear by season end, sizes selling out first, styles with no sales at all, and the rate of sale needed to justify a reorder.", markdownExposure: "Build a boutique markdown dashboard showing stock at risk of ending the season unsold with its cost value, styles where a small reduction would likely clear remaining units, margin retained at each possible markdown level, discount already given as a share of sales, and the total exposure if current slow sellers are not cleared.", customerClienteling: "Build a boutique customer dashboard showing your best customers by spend and visit frequency, what each has bought by brand, style and size, customers not seen in three months who used to visit regularly, customers whose preferred brands have new stock arriving, and average spend per visit by customer group.", buyingDecision: "Build a boutique buying dashboard showing sell through and margin by brand and category over the last four seasons, brands consistently delivering full price sales against those needing markdown, size curve sold against size curve bought, categories where you consistently run out too early, and the open to buy remaining for the coming season."};
Buy on Your Own Seasons, Not the Rep's Pitch
Sell through and margin by brand and category over four seasons, brands consistently delivering full price sales against those needing markdown, size curve sold against size curve bought, categories that run out too early and open to buy remaining.
Buy on Your Own Seasons, Not the Rep's Pitch
Sell through and margin by brand and category over four seasons, brands consistently delivering full price sales against those needing markdown, size curve sold against size curve bought, categories that run out too early and open to buy remaining.
Build a custom boutique dashboard in 4 simple steps
Track sell through by style and size, markdown exposure and your best customers, so buying and pricing decisions are made while the season is still live.
Start with sell through rate by style, colour and size, weeks of cover on current stock, full price against discounted sales, best customers and their preferences, and conversion from footfall to sale. Emergent builds around your ranges and buying cycle.
Link your point of sale, stock records and customer list. Emergent calculates sell through against how long each style has been on the floor, so a slow seller is identified in week three rather than at end of season.
Ask to add a brand, alter your sell through target, change how the season is defined or regroup categories, and stock and buying views rebuild around it.
Deploy one link you check daily. Reorder and markdown decisions happen while the style is still selling rather than when the season is over.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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