01
Business Performance
What changed, and whether it deserves your week.
For retailers
Your data shows you what happened.
TOMORROW shows you what to do next.
Dashboards show you the number. TOMORROW works out what moved it, what that is worth, and the one thing to do about it — across every store, category and product you run.
01The product thesis
Sales are down 10%. Any tool can tell you that. Almost none can close the gap.
One question, six levels of answer. Actions you can take today.
A retailer can already ask
Sales this month versus last year.
A better analytics tool can ask
Sales by category, brand, product, order count, AOV, UPT, price, stock and day of week.
TOMORROW notices
Sales are 10% below last year, but the decline is concentrated in a few areas.
TOMORROW tests
It runs deep pattern analysis across every combination including - category, brand, product, price, stock, order count, AOV, UPT and day of week. Too many variables for any team to cross-check by hand.
TOMORROW interprets
After removing overlap, five issues explain 9.4 of the 10-point decline: fewer orders (4.0 points), footwear stockouts (2.1), weaker Brand X sales (1.4), lower UPT (1.0) and weaker weekends (0.9).
TOMORROW acts
Refill key footwear sizes, recover Brand X's top products and improve weekend attachment. These actions address $31,000 of the gap.
What actually explains the change.
Fewer orders
4.0
Footwear stockouts
2.1
Weaker Brand X
1.4
Lower UPT
1.0
Weak weekends
0.9
Find it · prove it · explain it · value it · act
02KEY INTELLIGENCE AREAS
Everything a retail business is judged on.
02
Product & Merchandising
Which products, brands, prices and attributes are doing the work — and which are not.
03
Inventory
Stockouts, broken size runs, ageing stock and cash sitting where demand is not.
04
Margin
Where profit leaks out, and how to stop it.
05
Customers
Retention, cohorts and customer value worth acting on.
06
Basket
Attachment, UPT and basket value — the quietest lever in the store.
07
Refill Buying
What is selling faster than you are buying it.
03From data to decision
A number is not an insight. This is what one looks like.
A dashboard tells you sell-through is 48%. TOMORROW tells you what's driving it, what it's costing you, and what to do about it. That is the gap between a number and a next move.
Insight → Evidence → Why → Opportunity → Action
tomorrow · product AI / footwear
Product AI
Technical running shoes above $180 are outperforming lifestyle shoes at the same price point by 34%.
Over the last 120 days, higher-priced technical running products have consistently achieved stronger sell-through than similarly priced lifestyle footwear.
Technical running
48%
Sell-through
Lifestyle
36%
Sell-through
Performance gap
+34%
Technical vs lifestyle
Revenue
$84,200
Technical running sales
Sell-through by price band · last 120 days
Technical Lifestyle
60%
40%
20%
0%
42%
44%
<$140
45%
41%
$140–180
52%
34%
$180–220
49%
30%
$220–260
44%
24%
$260+
Above $180, technical averages 48% sell-through vs 36% for lifestyle, the gap widens as price rises.
TOMORROW's analysis
Customers are not rejecting footwear above $180, they're rejecting lifestyle products without enough perceived value at that price. Technical styles with clear performance attributes are selling 1.34× faster in the same price range.
Outperforming
Trail Pace 3
1.8× faster than lifestyle styles
62%
$220
Aero Tempo
1.5× faster than lifestyle styles
57%
$210
Glide Carbon
1.4× faster than lifestyle styles
54%
$230
Underperforming
Court Classic
21 weeks of supply · $14.2K
29%
$215
Retro Runner
24 weeks of supply · $11.6K
26%
$225
City Low
27 weeks of supply · $9.8K
22%
$240
Buying opportunity
$32,400
Shifting $18,000 of your next buy from premium lifestyle into technical running could generate approximately $32,400 in additional seasonal sales while improving inventory turn.
Recommended action
Adjust your next footwear buy
- Increase · Technical running $180–240+$18,000
- Reduce · Lifestyle shoes $180–240−$18,000
- Prioritise cushioning, lightweight performance, race/training crossover, core sizes 8–10.
Apply to buy
04Find the value
Find where the money is.
TOMORROW reads your business the way your best operators do, assortment, demand, price and supply, then ranks what is actually worth doing, in dollars.
$0K
Cash trapped in inventory
0 units
To reorder this week
0 SKU's
Broken size runs
0
Customers to reactivate
+0%
Women's dresses YOY
-0%
Men's denim YOY
$0K
Buying opportunity
$0K
Inventory risk due to stockouts
05Always-on analysis
TOMORROW reads your whole business, every day.
Sales, orders, inventory, products, customers, suppliers and purchase orders, analysed continuously across brand, category, price, attribute, size, margin and time.
01Daily business review
What needs my attention?
Sales are $1,640 below expected today, three top styles are missing sizes 7–9.
$1,180
Replenish 42 units →
02Buy review
How did my last buy perform?
29 of 126 SKUs are materially behind plan, holding $44,600 of inventory at cost.
$16,800
Reorder winners →
03Product pattern AI
What have I not noticed?
Premium skincare is outperforming premium makeup at the same price by 38%.
$34,700
Shift the next beauty buy →
04Inventory health
Where is cash trapped?
$48,600 sits in slow-moving stock, 32 SKUs beyond 16 weeks of supply.
$31,200
Swap, reduce, mark down →
05Replenishment & stock at risk
What am I about to run out of?
12 best-selling SKUs have under two weeks of stock and long lead times.
$7,800
Order 86 units →
06Margin & profitability
Where is margin leaking?
Discount depth on outerwear is running 4.2 pts ahead of last season.
+3.8 pts
Reset markdown ladder →
07Customer AI
Where is the next sale?
63 high-value customers have gone quiet; 21 match products in stock now.
$6,300
Activate customers →
08Basket AI
What should sell together?
Only 18% of running shoe orders include performance socks. Socks add $34 AOV.
$2,900
Create a bundle →
09Supplier & open orders
Should I still take everything?
$12,700 of incoming inventory is no longer supported by demand.
$8,900
Modify open POs →
10Brand / supplier review
Which brands actually work?
42% of the next Brand X order sits in its weakest category while winners stock out.
$18,600
Rebalance the order →
tomorrow · today
Today
TOMORROW found $28,430 in opportunities today.
$10,780
Drive sales
Recover sales at risk from stock shortages and missed customer opportunities.
$8,900
Free cash
Reduce or modify incoming inventory no longer supported by demand.
$4,300
Improve the next buy
Apply patterns TOMORROW has learned from previous buying decisions.
27 recommended actions are ready for review.
Review all opportunities
06The surfaces, on screen
Data to decisions. Decisions to action. Action to result.
17Margin bridge
Planned to actual
TOMORROW.app / margin · bridge · season to date
17 · Margin bridge
Planned to actual
−12.6 pts
58.2% → 45.6%
Initial
58.2%
Markdown
-6.4
Promotion
-3.3
Mix
-1.8
Shrink
-1.1
Actual
45.6%
Markdowns cost 6.4 points and promotions another 3.3. Nine of the twenty-six discounted products moved no faster after the cut.
Recommended action · Reverse nine markdowns, hold price on the six still selling at rate.
02Inventory health
Excess and shortage, side by side
TOMORROW.app / inventory · health by category
02 · Inventory health
Excess and shortage, side by side
$92k
Excess vs 148 units short
Footwear
$41k over · $12k short
Womenswear
$28k over · $9k short
Accessories
$16k over · $4k short
Beauty
$7k over · $18k short
Home
$4k over · $11k short
Excess
Shortage
$92k sits in excess stock across three categories while 148 units are short where demand actually is. Footwear holds most of the excess; beauty holds most of the shortage.
Recommended action · Transfer or mark down the $92k excess; reorder the 148 units into beauty and home this week.
05Category momentum
Growth vs four weeks ago
TOMORROW.app / performance · category momentum
05 · Category momentum
Growth vs four weeks ago
+9%
Store overall
Womenswear
+31%
Accessories
+14%
Beauty
+6%
Home
-4%
Footwear
-8%
Knitwear
-12%
Womenswear is up 31%, driven by dresses and outerwear. Knitwear is down 12% and still receiving inbound deliveries.
Recommended action · Open-to-buy toward dresses and outerwear; pause the next knitwear delivery.
20Stock productivity
Gross profit per stock dollar
TOMORROW.app / margin · GMROI by category
20 · Stock productivity
Gross profit per stock dollar
$2.70
Store average
Accessories
$4.20
Beauty
$3.40
Womenswear
$2.90
Home
$2.40
Footwear
$1.60
9% stock
14% stock
21% stock
18% stock
38% stock
Accessories return $4.20 for every stock dollar against a $2.70 average. Footwear returns $1.60 while holding 38% of the inventory.
Recommended action · Move $24,800 of open-to-buy out of footwear depth into accessories.
03 & 10Availability
Bought versus wanted
TOMORROW.app / inventory · size curve vs demand
03 & 10 · Availability
Bought versus wanted
$31,600
Sales at risk in 14 days
XS
S
M
L
XL
XXL
Demand
Bought
Thirty-four SKUs hold stock but are missing key sizes, cutting sales speed by 41%. Eleven more break within fourteen days.
Recommended action · Refill M and L on eleven SKUs, cut XS and XXL depth on the next buy.
04Ageing & excess
Where the cash is sitting
TOMORROW.app / inventory · ageing · cash release
04 · Ageing & excess
Where the cash is sitting
$48,600
Beyond 16 weeks of supply
0–4 wks
4–8 wks
8–12 wks
12–16 wks
16–24 wks
24 wks +
$48,600 of stock carries more than sixteen weeks of supply. Fourteen products will not clear at their current rate of sale.
Recommended action · Stage a clearance on fourteen styles, release cash into refill buys.
11Assortment productivity
Footwear options, ranked by share of sales
TOMORROW.app / inventory · assortment productivity
11 · Assortment productivity
Footwear SKUs, ranked by share of sales
$24,800
Freed by exiting the tail
Best sellers
Bottom 28 SKUs · 6% of sales · 19% of stock
The bottom twenty-eight footwear SKUs produce 6% of sales while holding 19% of footwear stock. Exiting them frees $24,800 with no measurable demand loss.
Recommended action · Exit the tail through the next buy cycle; redeploy $24,800 into the top twelve SKUs.
07Winners & losers
Reorder, hold, reduce, exit
TOMORROW.app / product · winners & losers
07 · Winners & losers
Reorder, hold, reduce, exit
18% / 61%
Of SKUs make of gross profit
Merino crew · Charcoal
18% stock held
Reorder
Trail runner · W
26% stock held
Reorder
Linen shirt · Sand
49% stock held
Maintain
Logo cap · Navy
66% stock held
Reduce
Print tee · Ecru
81% stock held
Exit
Eighteen percent of SKUs generate 61% of gross profit, while thirty-seven low-productivity SKUs absorb $46,000 of inventory.
Recommended action · Exit thirty-seven styles, put the freed buy behind the top eighteen percent.
08Price architecture
Price against weekly sell speed
TOMORROW.app / product · price × sell speed
08 · Price architecture
Price against weekly sell speed
+34%
Skincare >$80 vs makeup, same price
$80
Skincare
Makeup
Skincare priced above $80 sells 34% faster than makeup at the exact same price points. Price is not the barrier — category is.
Recommended action · Extend the premium skincare range two price points up; hold makeup at current ceiling.
12Attach rate
What is bought together
TOMORROW.app / basket · attach rate · last 90 days
12 · Attach rate
What is bought together
1.8
Store average attach
Dress shoes → anything
1.1 vs 1.8
Denim → knitwear
2.4 vs 1.8
Skincare → cleanser
2.1 vs 1.8
Outerwear → accessory
1.3 vs 1.8
Forty-six percent of dress shoe transactions contain a single item, against 28% store-wide. The gap is widest on weekends.
Recommended action · Prompt a care-kit and sock attachment at the counter on Saturdays.
13UPT timing
Units per transaction, hour by hour
TOMORROW.app / basket · UPT by day × hour
13 · UPT timing
Units per transaction, hour by hour
1.62 → 1.34
Average vs busiest Saturday hours
9:00
11:00
1:00
3:00
5:00
7:00
Mon
1.7
1.6
1.6
1.5
1.4
1.3
Tue
1.6
1.7
1.6
1.6
1.5
1.4
Wed
1.7
1.6
1.7
1.5
1.5
1.4
Thu
1.6
1.6
1.6
1.6
1.5
1.4
Fri
1.7
1.7
1.6
1.5
1.4
1.3
Sat
1.8
1.7
1.5
1.4
1.34
1.3
Sun
1.7
1.6
1.6
1.5
1.5
1.4
UPT holds near 1.7 all week, then collapses to 1.34 in the busiest Saturday hours — exactly when basket-building matters most. Staff are ringing up, not selling.
Recommended action · Roster a dedicated upsell role on Saturday 1–7pm; trial for two weekends.
18Markdown effectiveness
Sell speed before and after the cut
TOMORROW.app / margin · markdown response
18 · Markdown effectiveness
Sell speed before and after the cut
$3,800
Margin given away for nothing
Suede loafer, tan
cut -30%
1.8/wk
1.9/wk
no lift
Chelsea boot, black
cut -25%
2.4/wk
5.1/wk
responded
Canvas tote
cut -40%
3.1/wk
3.2/wk
no lift
Wool coat, camel
cut -30%
1.2/wk
4.4/wk
responded
Silk scarf
cut -35%
2/wk
2.1/wk
no lift
Before
After, no lift
After, worked
Nine of twenty-six markdowns moved barely faster after the cut. The discount was given away without changing the outcome — $3,800 of margin for no sell-through gain.
Recommended action · Reverse the nine non-responders back to full price; they sell at the same rate either way.
15Retention & cohorts
Who is overdue to return
TOMORROW.app / customers · retention · cohort quality
15 · Retention & cohorts
Who is overdue to return
$6,300
63 high-value customers overdue
Order 1
30d
60d
90d
180d
Q1
100%
46%
33%
28%
24%
Q2
100%
44%
31%
26%
—
Q3
100%
41%
29%
—
—
Q4
100%
31%
—
—
—
This quarter's new customers spend 22% more on the first order but are 31% less likely to return within ninety days. Twenty-one overdue regulars usually buy product that is in stock now.
Recommended action · Trigger a twenty-one customer recall on product already on the floor.
07From decision to action
A finding you don't act on is just a number.
01Reorder 148 units before the stockout
02Guide your next $24K buy towards top performers
03Review 8 suppliers based on performance
04Reactivate 327 lapsed customers
05Hold markdown on 34 suggested SKU's
06Raise a PO for 42 broken sizes
Agent run
Approve once, or let it run
TOMORROW.app / actions · agent run
Agent · Replenishment
Reorder 148 units, trail running
Reading demand signal across 9 stores…
Reconciling on-hand vs. on-order…
Drafting PO #48210 to Kestrel Footwear…
PO sent · Vendor acknowledged · Calendar updated
Approve & runRun automaticallyHuman in the loop, always
08Behind every area
Pattern analysis runs underneath all of it.
Single-dimension thinking misses most of what is happening. The engine crosses dimensions and keeps only the combinations that hold up.
Price × Category
Price × Brand
Price × Attribute
Size × Category
Size × Brand
Margin × Price
Sell-through × Attribute
UPT × Time
Basket × Product
Customer × Category
Customer × Frequency
Inventory × Velocity
Brand × GMROI
Weeks of supply × Demand trend
09At scale
Every store, every channel, every data point.
One store or four thousand, the engine reads them the same way. A single engine is grounded in your data, and your existing systems stay exactly where they are.
No insight without a dollar value. No dollar value without an action.