Build a Custom Wholesale Dashboard Using AI in Minutes

Describe your Wholesale Dashboard in plain English. Emergent handles design, development, and deployment, giving you a live build in minutes. No code needed.

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Emergent Key Features for Building a Wholesale Dashboard

Each customer's own pricing applied to their orders, so account margin is real rather than list based.

Margin at Agreed Prices


Each customer's own discount tier and rebates are applied, so account profitability is real rather than calculated from a list price.

Ordering Pattern per Customer


A customer's normal frequency and value are established, so a decline is detected against their own behaviour rather than a group average.

Cost to Serve Included


Delivery cost and payment terms are set against margin, revealing accounts where the order value never justified the service.

Credit Utilisation Live


Balances are compared with limits continuously, so an order is held or approved on the current position rather than a monthly statement.

Category Gaps by Customer


Products a customer does not buy but comparable accounts do are identified, giving account managers a specific conversation.

Tier Change Modelled


The margin effect of moving a customer between discount tiers is calculated before a negotiation rather than after it.

Wholesale Dashboard Use Cases You Can Build in Minutes

Trade Customer
Trade Customer

Notice a Trade Account Going Quiet

Each trade customer with orders placed and value this period against their usual pattern, average order value and frequency, days since last order against their normal interval, categories bought and not bought, margin after discount and declining accounts.

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window.awbMockup = { tradeCustomer: "Build a wholesale dashboard showing each trade customer with orders placed and value this period against their usual pattern, average order value and frequency, days since last order against their normal interval, product categories bought and not bought, margin after discount, and customers whose ordering has materially declined.", marginByAccount: "Build a wholesale margin dashboard showing revenue and gross margin per customer after their agreed discount tier, rebates accrued, delivery cost to serve and payment terms cost, margin percentage against your target by customer type, accounts trading below acceptable margin, and the effect of moving a customer to a different tier.", creditExposure: "Build a wholesale credit dashboard showing each account's balance against credit limit with utilisation percentage, accounts over limit or approaching it, overdue balances by ageing band, average days to pay against agreed terms, orders currently held for credit reasons, and total exposure by customer type and region.", productAndOrder: "Build a wholesale order dashboard showing units and value by product and category across all trade customers, lines below minimum order quantity, orders shipped incomplete with the reason, products stocked by few customers, fastest growing lines by customer segment, and seasonal ordering patterns by category."};

Margin by Account
Margin by Account

Apply Their Real Prices, Not List

Revenue and gross margin per customer after their agreed discount tier, rebates accrued, delivery cost to serve and payment terms cost, margin percentage against target by customer type, accounts below acceptable margin and the effect of a tier change.

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window.awbMockup = { tradeCustomer: "Build a wholesale dashboard showing each trade customer with orders placed and value this period against their usual pattern, average order value and frequency, days since last order against their normal interval, product categories bought and not bought, margin after discount, and customers whose ordering has materially declined.", marginByAccount: "Build a wholesale margin dashboard showing revenue and gross margin per customer after their agreed discount tier, rebates accrued, delivery cost to serve and payment terms cost, margin percentage against your target by customer type, accounts trading below acceptable margin, and the effect of moving a customer to a different tier.", creditExposure: "Build a wholesale credit dashboard showing each account's balance against credit limit with utilisation percentage, accounts over limit or approaching it, overdue balances by ageing band, average days to pay against agreed terms, orders currently held for credit reasons, and total exposure by customer type and region.", productAndOrder: "Build a wholesale order dashboard showing units and value by product and category across all trade customers, lines below minimum order quantity, orders shipped incomplete with the reason, products stocked by few customers, fastest growing lines by customer segment, and seasonal ordering patterns by category."};

Credit Exposure
Credit Exposure

Approve Orders on the Live Position

Each account's balance against credit limit with utilisation percentage, accounts over limit or approaching it, overdue balances by ageing band, average days to pay against agreed terms, orders held for credit reasons and exposure by customer type.

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window.awbMockup = { tradeCustomer: "Build a wholesale dashboard showing each trade customer with orders placed and value this period against their usual pattern, average order value and frequency, days since last order against their normal interval, product categories bought and not bought, margin after discount, and customers whose ordering has materially declined.", marginByAccount: "Build a wholesale margin dashboard showing revenue and gross margin per customer after their agreed discount tier, rebates accrued, delivery cost to serve and payment terms cost, margin percentage against your target by customer type, accounts trading below acceptable margin, and the effect of moving a customer to a different tier.", creditExposure: "Build a wholesale credit dashboard showing each account's balance against credit limit with utilisation percentage, accounts over limit or approaching it, overdue balances by ageing band, average days to pay against agreed terms, orders currently held for credit reasons, and total exposure by customer type and region.", productAndOrder: "Build a wholesale order dashboard showing units and value by product and category across all trade customers, lines below minimum order quantity, orders shipped incomplete with the reason, products stocked by few customers, fastest growing lines by customer segment, and seasonal ordering patterns by category."};

Product and Order
Product and Order

Give Account Managers a Specific Conversation

Units and value by product and category across all trade customers, lines below minimum order quantity, orders shipped incomplete with the reason, products stocked by few customers, fastest growing lines by segment and seasonal ordering patterns.

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Give Account Managers a Specific Conversation

Units and value by product and category across all trade customers, lines below minimum order quantity, orders shipped incomplete with the reason, products stocked by few customers, fastest growing lines by segment and seasonal ordering patterns.

Build a custom wholesale dashboard in 4 simple steps

Track trade customer ordering, margin and credit in one view, so accounts are managed on contribution rather than on order volume.

Choose how you judge a trade account

Start with order frequency and value per customer, margin after discount tier and delivery, credit limit usage and payment behaviour, product mix and accounts trading below their usual pattern. Emergent builds around your price tiers and customer types.

Connect orders, pricing and credit records

Link your order system, price lists and discount agreements, delivery costs and accounts receivable. Emergent applies each customer's actual pricing to their orders, so margin per account is real rather than list based.

Change tiers and terms by asking

Ask to add a price tier, alter a credit limit rule, change how rebates accrue or add a product category, and margin and exposure views rebuild around the agreements.

Share it with sales and credit control

Deploy one build where account managers see their own customers and ordering patterns while credit control sees limit usage and overdue balances. A drop in ordering is noticed before the customer is lost.

Why choose Emergent?

Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.

ComparisonOther Tools
Built forDemos and MVPsProducts you keep growing
What you getFront end shell onlyFull stack, wired end to end
Backend and databaseSet it up yourselfBuilt and connected for you
CustomizationSurface level stylingDeep workflow control
Integrations and APIsManual glue workConnected from a prompt
Code ownershipLocked to the platformClean code you can export
Time to launchWeeks of patching and setupLive the same day

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Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.

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