Standard reports don't always answer the questions your business asks every day. We build tailored dashboards and internal tools that bring useful information and actions into one place: the numbers your team needs, current enough to act on.
Illustrative custom business dashboard for an example store with example data: net revenue of £48,260 for 1 to 28 October, up 12.4% on the previous 28 days, from 612 orders at an average of £78.86; weekly revenue by channel against the previous period; the channel split between online store, marketplace and wholesale; top products with days of stock cover; three low-stock items; and fulfilment counts including three late orders. Not a client's figures.
Overview
Search orders, products…All channels1 – 28 Oct 2026
vs previous 28 days
Net revenue
£48,260
▲ +12.4%
Orders
612
▲ +8.1%
Average order
£78.86
▲ +4.0%
Returning customers
38%
▲ +2 pts
Net revenue by week
Online store
Marketplace
Wholesale
Previous period
£10k£5k£0
Week 1Week 2Week 3Week 4
Online store
Marketplace
Wholesale
Previous period
Revenue by channel
Online store65%
Marketplace24%
Wholesale11%
Top products
Product
Units
Revenue
Cover
Linen shirt
184
£11,776
12 days
Merino jumper
96
£8,544
9 days
Wool overcoat
31
£5,859
34 days
Leather belt
118
£4,130
48 days
Low stock
3 items
Merino jumper · M6 left4 days
Linen shirt · S9 left5 days
Silk scarf3 left7 days
Fulfilment today
23
To fulfil
41
Shipped today
7
Returns open
3
Late, over 2 days
Illustrative dashboard · example data, not client results
Illustrative dashboard with example data, not client results.
What This Means for Your Team
Decisions on current numbers
Decisions about buying, pricing and promotions are made on current numbers, not last week's export.
No more Monday spreadsheet
Managers stop assembling the same spreadsheet every Monday from three different systems.
The right view for each role
Each person sees what their role needs and nothing they shouldn't, with access that can be withdrawn when staff change.
What We Can Build
Each preview is an illustrative example interface, not a client's.
Sales & products
Revenue · last 8 weeks
Top product · Linen shirt184 sold
Sales and product-performance dashboards.
Inventory & reorders
Merino jumper · M4 days
Linen shirt · S5 days
Silk scarf7 days
Wool overcoat · L37 days
Reorder 3 lines
Inventory and replenishment reporting tools.
Customers & orders
Repeat purchase by first-order month
M0M1M2M3
Jul100%34%26%22%
Aug100%37%29%
Sep100%39%
Oct100%
Customer and order analytics interfaces.
Task boards & approvals
To do
Restock window display
Supplier invoice
Needs approval
Refund £64 · #10498Approve
Done
Price update · AW26
Operational task boards and workflow applications.
Cross-system reporting
ShopifyMarketplaceWholesale sheet
↓ combined ↓
Online store£31,370
Marketplace£11,580
Wholesale£5,310
Cross-system reporting and data consolidation.
Roles & secure access
RoleSalesStockRefunds
Buyer
Warehouse
Finance
Sign-in with two-step verification
Role-based internal applications with secure access.
Where the Numbers Come From
A dashboard is only as good as the data behind it. We collect from the systems you already use, check it, apply permissions, and show each person the part they need.
Illustrative diagram: data from Shopify, a marketplace, a wholesale spreadsheet, a help desk and an accounting system is collected on a schedule, checked and permissioned in a data layer, and shown in one dashboard, where a buyer, an operations manager and a finance lead each see the part that matters to their role.
Shopify
Orders, products, customers
Marketplace
Orders and fees
Wholesale sheet
Trade orders
Help desk
Tickets and refunds
Accounting
Payouts and VAT
Data layer
Collected on a schedule
Checked and matched
Permissions applied
One dashboard
The same numbers for everyone
Net revenue£48,260Orders612
BBuyerStock cover and reorders
OOperationsOrders, late items, returns
FFinanceNet revenue and refunds
Illustrative example · example sources and roles
Illustrative diagram with example sources and roles.
Examples of What We Can Build
These are illustrative examples of the kind of work we can scope and build. They are not descriptions of completed client projects; anonymised completed work is shown in our case studies.
Illustrative example
Replenishment dashboard
Sell-through by product and variant over the last 30 and 90 days, days of stock remaining at the current rate, and a suggested reorder list your buyer can adjust and export as a supplier order.
Replenishment
Suggested order · 45 days of cover
Export supplier order
Merino jumper · M57Sold 42 in 30 days · 6 in stock4 days left
Linen shirt · S72Sold 54 in 30 days · 9 in stock5 days left
Silk scarf16Sold 13 in 30 days · 3 in stock7 days left
Wool overcoat · L5Sold 18 in 30 days · 22 in stock37 days left
Leather belt–Sold 40 in 30 days · 64 in stock48 days left
Product
Sold 30d
Sold 90d
In stock
Days left
Suggested
Merino jumper · M
42
118
6
4 days
57
Linen shirt · S
54
140
9
5 days
72
Silk scarf
13
41
3
7 days
16
Wool overcoat · L
18
47
22
37 days
5
Leather belt
40
112
64
48 days
–
Days left = stock ÷ 30-day daily rate. Suggested = 45 days of cover minus stock. Your buyer can edit any line.
Illustrative example
Multi-channel sales view
Shopify, marketplace and wholesale orders consolidated into one daily and weekly view with returns netted off, so the business sees true revenue by channel without a manual merge.
Sales by channel
1 – 28 Oct 2026 · returns netted off
This periodBy weekBy day
Online store
Marketplace
Wholesale
Online store£31,370 net
£33,020 gross · −£1,650 returns · 65%
Marketplace£11,580 net
£12,480 gross · −£900 returns · 24%
Wholesale£5,310 net
£5,310 gross · £0 returns · 11%
Total net£48,260
Channel
Gross
Returns
Net
Share
Online store
£33,020
−£1,650
£31,370
65%
Marketplace
£12,480
−£900
£11,580
24%
Wholesale
£5,310
£0
£5,310
11%
Total
£50,810
−£2,550
£48,260
100%
Illustrative example
Customer service workload board
Open enquiries, late orders and pending refunds in one queue, assigned to staff, with ageing shown so nothing waits unnoticed.
Customer service queue
Ageing colours: under a day, one to two days, over two days.
AllMineUnassigned
14
Open enquiries
3
Late orders
5
Pending refunds
#10511 · Where is my order?Late orderAK3 days
#10498 · Refund for faulty zipRefundJM2 days
Size exchange requestEnquiry—26 hours
#10530 · Change delivery addressEnquiryAK4 hours
#10527 · Missing itemLate orderRS2 hours
More Than a Pretty Chart
We start with the decisions you need to make, the data you can access and the actions the tool should support. Then we design the interface around those requirements. This is bespoke work scoped to your business, not a repackaging of Shopify's own analytics.
01
Understand the decisions
What you need to decide, how often, and which numbers you check today to do it.
02
Map the data
Where each number lives, how we can reach it, how current it can be, and any platform limits.
03
Design the screens
Layouts drawn around real tasks and roles, agreed with you before anything is built.
04
Build and test
Built in stages against your real data, with figures checked against the source systems.
05
Hand over and support
Training, a written guide to how it works, and support as your platforms and needs change.
Built properly, not just built
Sign-in and roles
Staff sign in with their own accounts, and each role sees only what it needs. Access is removed when someone leaves.
Your data stays yours
Data is held where you agree, collected only for what the tool needs, and never shared with other clients.
Integration limits, stated early
Some platforms limit what their APIs expose or how often. We check before scoping and tell you what that means.
Looked after afterwards
Platforms change. A support arrangement keeps the tool working as APIs and your needs evolve.
Frequently Asked Questions
Can a dashboard combine Shopify with other sources?
Potentially, subject to data access and integration feasibility.
Will the dashboard work on mobile?
Responsive layouts can be included in the project scope.
Can staff have different permissions?
Yes, role-based access can be designed where required.
Build tailored AI-assisted workflows with human oversight, clear safeguards and useful outcomes, for Shopify stores and for businesses that don't use Shopify at all.
The signs a spreadsheet has become a liability, what a custom dashboard should and should not do, and a middle path that often costs far less.
·8 min read
Read article
Automation & ReportingAnonymised client project
Scattered Automations Brought Onto One Monitored Platform
Stock alerts, marketing triggers, multilingual workflows and reporting tools for a growing store, built around its email agency and watched by a run log and alerts.
Tell us the three questions you most often answer by digging through spreadsheets. We'll tell you whether a dashboard would answer them, what data it needs and what it would cost to build.
Tell us about your store and what you need. We'll review your enquiry and reply within one or two working days.
Helpful to include
1The questions you answer most often by digging through exports or spreadsheets.
2Where that information lives today: Shopify, other platforms, spreadsheets.
3Who would use the tool, and what each person should be able to see or do.