Numbers from your operation, not about it.
Turn connected product, inventory, orders, warehouse execution, and fulfillment data into clearer reporting across your business. Replace manual exports and conflicting numbers with one connected source of truth.
















20 minutes · 5 tabs · 3 teams
Shopify sell-through in one tab. Wholesale in another. Marketplace in a third. Warehouse throughput in the WMS. Forecast in a Google Sheet. Before you start the meeting, you have to start the reconciliation.
Ops opened Shopify at 9:15. Revenue for last week: $214K. Finance ran the accounting report at 9:48. Revenue: $208K. Commercial built their weekly deck from a Friday export. Revenue: $211K.
Before anybody can talk about what the numbers mean, somebody has to decide which number is right. The meeting spends twenty minutes reconciling. Fifteen minutes are left. The decisions don't get made.
The meeting after that one is finance reviewing margin. The number lives in two places — accounting margin (gross), and a landed-cost spreadsheet the sourcing team maintains separately. They don't match. The meeting after that one is your warehouse lead trying to plan capacity for next month from a throughput report that excludes returns, because returns live in a different tool that doesn't roll up.
Every weekly meeting starts with the same agenda item: “let's align on the numbers first.” This isn't a reporting problem. It's a data problem.
Every growing apparel brand runs some version of the same weekly meeting. Operations, commercial, and leadership sit down to look at performance. The numbers come from five places. Before anyone can discuss what the numbers mean, there's a twenty-minute debate about whose numbers are right.
Reports built on fragmented systems inherit all the fragmentation. Different cuts, definitions, timestamps, truth.
Uphance reporting runs on connected operational data — the same product, inventory, order, and fulfillment data the rest of the business works from. When your team opens a dashboard, they're looking at the same reality as every other team.
Pre-built views for ops, commercial, warehouse, and leadership.
Build views that match how your team actually thinks about the business.
Scheduled CSVs, API exports, or BI-tool pushes for downstream analytics.
Everything you see is current, not an overnight batch.
From a top-line number to the SKU, customer, or warehouse it came from.
Everyone sees what's relevant to them. Finance doesn't wait on ops. Ops doesn't wait on finance.
The modern BI stack — Looker, Power BI, Tableau, dbt — is brilliant at its job. But its job assumes something many growing apparel brands don't actually have: a clean, unified operational data warehouse underneath.
When your operational data is scattered across Shopify, JOOR, a legacy ERP, and three spreadsheets, the BI layer doesn't fix it. It just renders the chaos in prettier charts. The real fix is unifying the operational layer below. Do that, and the BI layer is a nice-to-have, not a life support system.
| Feature | BI tools on fragmented data | Uphance reporting |
|---|---|---|
| Chart types and visual polish | ✓ (deeper) | Standard, sufficient |
| Custom modeling and metrics | ✓ Deep | Within Uphance + via API for downstream BI |
| Real-time operational data | Depends on pipelines | ✓ Native |
| Single source of truth | Requires data engineering | ✓ Built in |
| Reconciliation effort | Constant | Minimal |
| Operational drill-down | Requires modeling work | ✓ Native |
| Role-based dashboards | Custom build | ✓ Out of the box |
| Setup cost and time | Data team + months | Weeks |
| Annual cost | BI license + data team + warehouse infra | Part of Uphance |
| Push to BI tools | Native (it is the BI) | ✓ Via API |
Most Uphance customers use Uphance reporting for operational decisions and feed a BI tool via API for executive-level aggregation — best of both.
“Using Uphance's reports, they analyze sales trends and stock levels weekly. This has led to better decisions, such as fine-tuning the product mix for each season and improving purchasing forecasts.”
| Metric | Outcome |
|---|---|
| Decision cadence | Monthly reconciliation → Weekly reviews |
| Inventory accuracy feeding reports | ~99% (up from 90 to 95%) |
| Excess stock | ~20% lower through better data-driven purchasing |
45 minutes, prepped around your reporting needs:
Your reporting cadence, team views, current tools, friction points mapped.
Your operational reporting rebuilt inside Uphance.
Dashboards per team, access rules, scheduled exports set up.
Historical data brought in where it informs ongoing reports.
Launch with support through the first full weekly cycle.
Uphance reporting runs on data from across your integrated stack.
| eCommerce | Shopify · Shopify Plus · WooCommerce · Amazon |
| Marketplaces | Mirakl Connect · ChannelEngine · Rithum / DSCO · The Iconic · Zalando |
| 3PL | ACR · Bergen Logistics · Microlistics · Mintsoft · Torque · NRI |
| Accounting | QuickBooks · Xero · Exact · Pennylane |
| API | Uphance API for custom data exports to BI tools |
Start with a brief discovery conversation. We'll learn how your operation runs today, assess fit, and prepare a demo around your channels, workflows, warehouses, systems, and priorities.