Set min and max per location. Trigger transfers and POs from real velocity, not guesses.
Velocity-based reorder points, size-curve aware transfers, and vendor-managed replenishment, all reading from the same inventory ledger that runs your orders and warehouse.
Built for multi-channel apparel brands replenishing across owned stores, warehouses, 3PLs, and wholesale partner doors.
5 × 30 × 100 = 15,000
Five locations (a flagship, two outlet stores, a warehouse, a 3PL). Thirty SKUs per style (5 colors x 6 sizes). One hundred active styles in the assortment.
That is fifteen thousand stock positions to evaluate every replenishment cycle. The team that does this in a spreadsheet replenishes the wrong things, and the bestsellers run out anyway.
By the time anyone notices the LA store is at zero, the wholesale ASN has gone out. Your store manager calls operations on Saturday. Operations calls the 3PL in Dallas to check stock. Dallas has fourteen units, but six are already reserved to a marketplace allocation. The team agrees, again, that the replenishment plan needs a tune-up.
The deeper problem is not the spreadsheet. It is that the spreadsheet was correct on Wednesday and stale by Thursday afternoon. The flagship's POS, the 3PL's WMS, the wholesale fulfillment queue, and the merchandiser's reorder list are four sources of truth that never agree at the same time.
Replenishment that runs off a stale snapshot is guaranteed to refill the wrong things. It is also guaranteed to make the team feel like the system is the problem when in reality the data feeding the system is the problem.
Replenishment is a coordination problem, not a forecasting problem.
A widget has one SKU and one velocity curve. A core tee has thirty SKUs and a size-curve that says you replenish in a 1-2-2-2-1 ratio, not one unit at a time. Drop styles should not be auto-replenished at all because the scarcity is the point. End-of-life SKUs should suppress the reorder rule so you do not refill stock that is about to mark down.
Most general replenishment tools were built for widgets. They calculate a reorder quantity by SKU and forget that the assortment ships in packs. The output is a plan that looks defensible in a spreadsheet and falls apart at the receiving dock.
Uphance replenishment respects size curves, pack ratios, channel allocation, and end-of-life flags as first-class inputs. The plan that comes out of the engine is the plan the warehouse and the stores can actually execute.
Set min, max, safety stock, and lead time per SKU per location. Every store, warehouse, and 3PL has its own rule.
Replenish in pack ratios, not single units. The system respects how the style actually sells across the size run.
Reorder thresholds recalculate from recent sales velocity. A SKU that suddenly takes off does not sit at its old low cap.
When a location drops below its trigger, Uphance suggests a transfer from the right source warehouse and routes it for approval.
When the network runs short, suggestions cascade into purchase orders or production orders without a second tool.
Ingest POS or 852 sales feeds from wholesale partners and ship replenishment back on your cadence, not theirs.
Replenishment sits where Breakpoint 3 (inventory truth) meets Breakpoint 4 (order flow). A brand that has clean variant-level inventory but no live replenishment plan still ships the wrong things to the wrong locations. A brand that has a great forecast but no real-time inventory still replenishes against numbers that were correct last Monday.
The fix is not a better forecasting tool or a better inventory tool in isolation. It is a replenishment engine that reads from the same live ledger every channel and location updates, so the plan and the reality stay in agreement.
Read the 6 Breakpoints framework for the full operating-model view.
| Capability | Spreadsheet replenishment | Uphance |
|---|---|---|
| Reorder point per SKU per location | Manual lookup | ✓ Native, per location |
| Size-curve aware replenishment | Manual rebalance | ✓ Configured curves |
| Velocity-based trigger updates | Recalculated rarely | ✓ Continuous |
| Lead-time aware reorder | Often forgotten | ✓ Per supplier |
| Transfer order automation | Email + manual entry | ✓ Suggested, then approved |
| Cascade to PO or production | Separate sheet, separate person | ✓ One workflow |
| VMI for wholesale partners | Outside scope | ✓ Native |
| Connected to live inventory ledger | Stale snapshot | ✓ Real-time |
| OTB-aware suggestions | Separate plan | ✓ Same view |
| Systems to license and maintain | Tool + middleware + ERP | 1 |
| Time to a clean weekly replenishment plan | Half a day, every week | Minutes |
"As we expand globally, consistency matters. Inventory accuracy, fast fulfillment, and a customer experience we can stand behind in every region. Uphance gives us an operational backbone we can scale across warehouses, 3PLs, and channels without losing control."
| Metric | Before Uphance | After Uphance |
|---|---|---|
| Reconciliation time across channels | Baseline | Cut roughly two-thirds |
| Oversell rate at peak | Recurring issue | Held under 0.5% |
| Season planning cycle | Baseline | Compressed by about 3 weeks |
45 minutes, prepped around your replenishment reality:
We map your locations, channels, lead times, size curves, and the rules you are already running in spreadsheets.
We rebuild your replenishment model in Uphance with a representative slice of your catalog and locations.
Reorder rules, size curves, source-location logic, and approval workflows set up around how your stock actually moves.
Stock imports, baseline cycle count at cutover, replenishment rules dry-run against last quarter's sales.
First two replenishment cycles run with support, then the team takes over the queue.
Replenishment reads from the same connected stack that runs your stores, channels, and wholesale partners.
| POS | Shopify POS · Retail Express · Vend · Lightspeed |
| ecommerce | Shopify · Shopify Plus · WooCommerce · Amazon |
| Marketplaces | Mirakl Connect · ChannelEngine · Rithum / DSCO · The Iconic |
| 3PL | ACR · Bergen Logistics · Microlistics · Mintsoft · Torque · NRI |
| EDI | EzCom · Rithum / DSCO · Direct retailer feeds (852 sales activity) |
Start with a brief discovery conversation. We will learn how your stock moves across stores, warehouses, and partners today, assess fit, and prepare a demo around your assortment, locations, and rules.
One connected platform for product, inventory, replenishment, orders, fulfillment, and reporting, built for apparel teams that need clarity across the business.
