01
Wholesale Performance
The top-level view of order value, units, orders and active accounts by season, with drill-down into what explains it.
For brands
Your order book knows which accounts are ready to grow — and which ones are about to go quiet.
Most wholesale businesses run on exported spreadsheets and a rep's memory. By the time an account goes quiet, the season has moved on. TOMORROW works from the data you already own and brings you the accounts, reorders and products that need attention — while there is still time to act.
01The wedge
Value in two steps.
Step one
Make the basics effortless.
Order value, active accounts, reorders, coverage, territories, rep portfolios — the questions that take days of spreadsheet work, answered in seconds.
Step two
Then find what nobody asked for.
The account drifting away before it lapses. The reorder window about to close. The expansion the numbers already support. Ranked, valued and in the rep's hands.
02The product thesis
Bookings are 8% down. Reporting stops there. TOMORROW starts there.
A wholesale brand can already ask
What were wholesale bookings this season versus last year?
Legacy reporting can show
Order totals by account, product, category, rep, territory and order type.
TOMORROW notices
Wholesale order value is 8% below last season, but the decline is concentrated in a small part of the account base.
TOMORROW tests
It compares accounts, products, assortment adoption, reorders, territories, reps and order timing against the brand's own history.
TOMORROW interprets
Eighteen previously active retailers explain 6.1 of the 8-point decline. Eleven have not ordered the new season and seven are past the point when they had ordered last season.
TOMORROW acts
It creates a ranked rep queue, identifies the relevant product gap for each account and prepares the next account conversation.
What actually explains the change.
18 lapsed accounts
6.1
Narrower adoption
0.9
Later order timing
0.6
Territory softness
0.4
Find it · prove it · explain it · value it · act
Eighteen accounts behind the decline, each one named — and a ranked call list, not a spreadsheet to interpret.
03KEY INTELLIGENCE AREAS
The whole wholesale business, read at once.
02
Accounts
Finds growing, declining, lapsed and expandable retailer relationships.
03
Products & Assortments
Shows what retailers order and where product, size, colour, category and season patterns emerge.
04
Reorders & Expansion
Finds credible repeat-order and account-growth opportunities.
05
Territories
Maps wholesale value, momentum, concentration and whitespace by retailer location.
06
Sales Team
Shows rep performance, portfolio health and the next accounts needing attention.
07
Orders
Makes the order book easy to search and analyse by season, week, account, product and rep.
04Find the value
Find where the growth is.
TOMORROW reads your order book the way your best reps do — accounts, reorders, products and territories — then ranks what is actually worth doing, in dollars.
0
Accounts pulling bookings down
$0K
Reorders ready to close
0
Accounts overdue a follow-up
+0%
Footwear sell-in YOY
+0%
Women's sell-in YOY
+0%
Outerwear sell-in YOY
-0%
Accessories sell-in YOY
-0%
Men's basics sell-in YOY
05The surfaces, on screen
Data to decisions. Decisions to action. Action to result.
01Wholesale performance
What moved the season
TOMORROW.app / wholesale · order book · season to date
01 · Wholesale performance
What moved the season
$4.8m
Order value, +7% YoY
Outerwear
+18%
Knitwear
+9%
Denim
+4%
Shirting
-3%
Dresses
-12%
Units are up 3% on outerwear and knitwear, but order count is down 4%. Twenty-eight established retailers have not ordered at all, and eleven of them normally write more than $20k a season.
Recommended action · Give every rep the ranked list of missing accounts before the season closes.
07Growth, decline & lapse
Accounts going quiet
TOMORROW.app / accounts · drift · lapse risk
07 · Growth, decline & lapse
Accounts going quiet
$125k
At risk across 5 accounts
Northline Supply
19 wks since last order
$34k
Harbour & Co
16 wks since last order
$28k
Field Street
14 wks since last order
$24k
Marlow Trading
12 wks since last order
$21k
Verge Retail
11 wks since last order
$18k
Each of these accounts ordered on a predictable cycle for three seasons and has now passed its normal window.
Recommended action · Book the five calls this week, lead with the styles each account reordered last season.
03Reorders & expansion
Which repeats are building
TOMORROW.app / reorders · momentum · season
03 · Reorders & expansion
Which repeats are building
$620k
16% of season order value
Reorder units, week 1 → week 12
Core fleece
19 retailers
+34%
Merino crew
14 retailers
+21%
Utility short
9 retailers
+8%
Tailored trouser
5 retailers
-64%
Core fleece reorder units are up 34% across nineteen retailers. The tailored trouser has fallen from fourteen reordering retailers to five, and nothing replaced it in those buys.
Recommended action · Push fleece into every open follow-up, and ask the nine lost trouser accounts what changed.
04Products & assortments
How wide each style went
TOMORROW.app / products · adoption · current season
04 · Products & assortments
How wide each style went
48 styles
Active, with no orders at all
20+ retailers
31
10–19
64
4–9
132
2–3
100
1 retailer
37
None
48
Retailers ordered 412 styles this season. Twenty of them carry 43% of the value, while 48 active styles were never ordered and 37 more went to a single retailer.
Recommended action · Lead the line with the twenty broad winners and cut the styles the market has already answered on.
06Territories
Where the map is thin
TOMORROW.app / territories · coverage · California
06 · Territories
Where the map is thin
6 of 22
Northern California ordering
Los Angeles
42 of 48 retailers
$912k
San Diego
18 of 24 retailers
$286k
Bay Area
14 of 31 retailers
$248k
Sacramento
9 of 19 retailers
$134k
Northern CA
6 of 22 retailers
$78k
California contributes $2.4m, but 38% of it sits in Los Angeles. Northern California holds twenty-two known retailers and only six have ordered this season.
Recommended action · Route the rep north with a call plan ranked by the value each retailer wrote last season.
10Account expansion
The category they never bought
TOMORROW.app / accounts · expansion potential
10 · Account expansion
The category they never bought
$64k
Evidenced across 12 accounts
Cobalt Outfitters
$18k
FootwearApparel
Ridgeway Stores
$12k
ApparelAccessories
Salt & Pine
$11k
KnitwearOuterwear
Union Goods
$9k
FootwearApparel
Twelve accounts buy one category from you and buy the comparable category elsewhere. Retailers of the same size and profile carry both, and they write 26% more a season.
Recommended action · Take the matched-retailer evidence into each buy review and open the second category.
12Size performance
The curve retailers buy
TOMORROW.app / products · size curve · ordered vs sold
12 · Size performance
The curve retailers buy
+3 pts
Small under-bought against sell-through
XS
S
M
L
XL
XXL
Grey · ordered by retailers · Colour · sold through
Retailers order the same size curve every season while S and M sell through three points ahead of it. XS sits on the floor at every account that carries it.
Recommended action · Rewrite the recommended pack ratio and drop XS from the standard break.
15Sales rep performance
Portfolios, not league tables
TOMORROW.app / sales team · portfolio health
15 · Sales rep performance
Portfolios, not league tables
51 accounts
Largest book, slowest growth
A. Mercer
$1.42m · 46 accounts
+12%
J. Okafor
$1.18m · 39 accounts
+6%
L. Duarte
$0.94m · 51 accounts
-3%
S. Halvorsen
$0.71m · 28 accounts
+9%
The largest book is the slowest growing. Fifty-one accounts is more than one rep can work properly, and eleven of them have not been contacted since the last market.
Recommended action · Move the eleven neglected accounts to the rep with capacity and evidenced growth.
02Account risk
How much rests on five buyers
TOMORROW.app / risk · revenue concentration
02 · Account risk
How much rests on five buyers
46%
Season value in the top 5, was 37%
Top 5 retailers
37% → 46%
Next 15
30% → 27%
Next 40
21% → 18%
Long tail
12% → 9%
Nine points of season value moved from the tail into the top five accounts. The line marks where each tier sat last season. Growth looks healthy and the base underneath it is thinning.
Recommended action · Set a coverage target for the next forty accounts and hold the top five flat in plan.
06From decision to action
A finding you don't act on is just a number.
01Close $46K of reorders sitting in the window
02Send the apparel expansion proposal to 12 footwear accounts
03Call the 12 accounts overdue a follow-up
04Rebook the 18 accounts pulling bookings down
05Build a call plan for the 16 untouched territories
06Chase sell-through numbers from your top five retailers
Agent run
Approve once, or let it run
TOMORROW.app / actions · agent run
Agent · Wholesale
Book $46K of reorders in the window
Scanning the order book across 214 accounts…
Cross-checking sell-through at the top 20 doors…
Drafting a reorder proposal for Northline Retail…
Sent · Buyer replied · Reorder booked
Approve & runRun automaticallyHuman in the loop, always
07Behind every area
Pattern analysis runs underneath all of it.
Order value × Account
Order value × Territory
Units × Product
Product × Account adoption
Product × Reorder rate
Size × Category
Colour × Territory
Season × Retailer cohort
Account × Time to reorder
Order type × Account
Rep × Account growth
Account breadth × Order value
Price band × Category
Order value × Week or month
08At scale
Every account, every territory, every order.
Ten accounts or ten thousand, the engine reads them the same way. A single engine is grounded in your order book, and your existing systems stay exactly where they are.
No finding without a dollar value. No dollar value without a call to make.