Build a Custom Automotive Dashboard Using AI in Minutes
Describe your Automotive Dashboard in plain English and create a production-ready build, from design and development to deployment, in minutes. No code needed.
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Emergent Key Features for Building an Automotive Dashboard
Sales, service and parts in one view with the customer tracked across both sides of the business.
Departments on One View
Sales, service and parts are reported together with absorption calculated, showing whether aftersales genuinely covers the site's fixed cost.
Gross per Unit Fully Loaded
Vehicle margin includes finance and add on income, which is where actual profitability sits rather than in the metal alone.
Stock Ageing and Days to Sell
Inventory is banded by age with days to sell by model, targeting the stock that ties up capital and loses value weekly.
Technician Efficiency and Utilisation
Hours sold against hours available and technician productivity are separated, so a workshop problem is diagnosed rather than described.
Customer across Sales and Aftersales
The same customer is tracked through purchase and service, revealing retention and lifetime value invisible in departmental reporting.
Multi Site Comparison
Sites are compared on the same measures with group roll up, so a franchise group manages performance rather than collecting monthly composites.
Automotive Dashboard Use Cases You Can Build in Minutes

Judge Sales on Profit, Not the Unit Board
Units sold new and used against target by site and salesperson, gross profit per unit including finance and add on income, enquiry to sale conversion, average days to sell, stock days by age band and vehicles held over ninety days.
window.awbMockup = { vehicleSales: "Build an automotive sales dashboard showing units sold new and used against target by site and salesperson, gross profit per unit including finance and add on income, enquiry to sale conversion rate, average days to sell, stock days by vehicle and age band, and vehicles held longer than 90 days.", serviceDepartment: "Build an automotive service dashboard showing hours sold against hours available, technician efficiency and productivity, workshop utilisation by day, average invoice value per job, upsell rate on identified additional work, first time fix rate, and bookings against capacity for the next two weeks.", partsAndInventory: "Build an automotive parts dashboard showing parts sales and margin by channel across workshop, retail counter and trade, stock turn by category, obsolete stock value and age, fill rate on first request, back orders outstanding, and parts spend against sales for the period.", aftersalesRetention: "Build an automotive retention dashboard tracking customers who bought a vehicle and later returned for service, retention rate at 12, 24 and 36 months, service visits per vehicle, customers overdue for scheduled service, revenue per customer across sales and aftersales, and lapsed customers worth reactivating."};

Diagnose the Workshop, Do Not Just Describe It
Hours sold against hours available, technician efficiency and productivity separately, workshop utilisation by day, average invoice value per job, upsell rate on identified work, first time fix rate and bookings against capacity.
window.awbMockup = { vehicleSales: "Build an automotive sales dashboard showing units sold new and used against target by site and salesperson, gross profit per unit including finance and add on income, enquiry to sale conversion rate, average days to sell, stock days by vehicle and age band, and vehicles held longer than 90 days.", serviceDepartment: "Build an automotive service dashboard showing hours sold against hours available, technician efficiency and productivity, workshop utilisation by day, average invoice value per job, upsell rate on identified additional work, first time fix rate, and bookings against capacity for the next two weeks.", partsAndInventory: "Build an automotive parts dashboard showing parts sales and margin by channel across workshop, retail counter and trade, stock turn by category, obsolete stock value and age, fill rate on first request, back orders outstanding, and parts spend against sales for the period.", aftersalesRetention: "Build an automotive retention dashboard tracking customers who bought a vehicle and later returned for service, retention rate at 12, 24 and 36 months, service visits per vehicle, customers overdue for scheduled service, revenue per customer across sales and aftersales, and lapsed customers worth reactivating."};

Keep Parts Margin and Availability in View
Parts sales and margin by channel across workshop, retail counter and trade, stock turn by category, obsolete stock value and age, fill rate on first request, back orders outstanding and parts spend against sales.
window.awbMockup = { vehicleSales: "Build an automotive sales dashboard showing units sold new and used against target by site and salesperson, gross profit per unit including finance and add on income, enquiry to sale conversion rate, average days to sell, stock days by vehicle and age band, and vehicles held longer than 90 days.", serviceDepartment: "Build an automotive service dashboard showing hours sold against hours available, technician efficiency and productivity, workshop utilisation by day, average invoice value per job, upsell rate on identified additional work, first time fix rate, and bookings against capacity for the next two weeks.", partsAndInventory: "Build an automotive parts dashboard showing parts sales and margin by channel across workshop, retail counter and trade, stock turn by category, obsolete stock value and age, fill rate on first request, back orders outstanding, and parts spend against sales for the period.", aftersalesRetention: "Build an automotive retention dashboard tracking customers who bought a vehicle and later returned for service, retention rate at 12, 24 and 36 months, service visits per vehicle, customers overdue for scheduled service, revenue per customer across sales and aftersales, and lapsed customers worth reactivating."};

Follow the Buyer into Aftersales
Customers who bought a vehicle and later returned for service, retention at twelve, twenty four and thirty six months, service visits per vehicle, customers overdue for scheduled service and revenue per customer across both sides.
Follow the Buyer into Aftersales
Customers who bought a vehicle and later returned for service, retention at twelve, twenty four and thirty six months, service visits per vehicle, customers overdue for scheduled service and revenue per customer across both sides.
Build a custom automotive dashboard in 4 simple steps
Bring vehicle sales, service and parts into one view, so a dealership or group is managed across departments rather than by three separate reports.
Start with units sold and gross per unit, stock days and ageing, service hours sold and technician efficiency, parts margin and aftersales absorption. Emergent builds around your departments and franchise mix.
Link your dealer management platform, stock records, service bookings and parts inventory. Emergent joins the customer across sales and aftersales, which is what shows the lifetime value a single transaction never reveals.
Ask to add a site, include a new franchise, change how gross is attributed or alter a technician efficiency target, and every department view rebuilds around the group structure.
Publish one link where each department manager sees their own performance and group management compares sites. Daily trading and monthly composite reporting come from the same build.
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Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
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