Plan a new season with the Strategy Agent — or monitor signals from the live one
PRE-SEASON STRATEGY
Strategy Builder
Tell the Strategy Agent your goal — department, season, intent, posture — and the trend agent + 5 downstream agents will build the plan.
12
Live Trends
5
Departments
68
Stores · 5 Clusters
Strategy Agent
Online · Ready to plan
Hi Sarah, I'm the Strategy Agent. I'll capture three quick fields — department, quarter, and goal — then hand off to the Trend Agent + 5 downstream agents.
Which department are we planning for?
Plan Configuration
IN-SEASON MONITORING
Performance Monitor
Live sell-through, trend velocity shifts, and markdown triggers across the active season — agent-flagged actions only.
What the competitive set is doing — styles emerging, breadth, AUR, and sales velocity
Market Intel Agent active
Competitive Set Five tracked competitors · updated daily
Subclass Breakdown Breadth · AUR · sales index across the set
Styles Emerging in Market Distinctive style traits gaining velocity across the set
Trend Analysis
Signal ingestion · trend classification · lifecycle prediction
Trend Agent active
Trending Now Sorted by relevance to your plan context
AI
Key takeaway
Barrel-Leg Denim is both the largest trend (3.1M mentions) and the fastest-growing (+56%) — a rare alignment that signals durable demand over a niche spike. Momentum is broad: 8 of 12 detected trends are rising or emerging.
Trend → Subclass Mapping How signals map to your subclass hierarchy
AI
Key takeaway
Affinity and commercial match cluster tightly across all trends, so saturation is the real decision variable. Dad Sandals and Cargo have the most headroom; Oversized Tees and Relaxed Linen are near-saturated.
Trend Lifecycle Where each trend sits on the adoption curve
AI
Key takeaway
8 of 12 trends are rising or emerging, none saturated, only Slim-Fit Bombers declining. Barrel-Leg Denim leads the rising group and is closest to crossing into mainstream.
Category & Subcategory Plans
Trend-informed plans across 5 departments · 22 classes · 78 subclasses · all own-brand
Plans auto-generated
AI
Key takeaway
Pre-built plans are tilted toward Tops (+8% vs LY) and Bottoms (+6%) on the back of Linen, Polo, Gingham, and Barrel-Leg signals. Outerwear is planned -4% driven by the Slim-Fit Bombers decline. Every subclass row carries a trend driver and rationale — review and adjust the proposed penetration, AUR, and fashion mix before locking the plan.
Location plan
Market forecasts and store-segment plans across 5 regional markets
Forecasts auto-generated
Demand plan
Forecast unit demand by trend-style × store segment, and identify whitespace opportunities before assortment optimization
Demand Agent active
AI
Key takeaway
Men's Q2 forecast lands at $17.5M across 9 active trend-styles, with Gingham, Barrel-Leg, and Court Polo together capturing nearly 50% of demand. Flagship and High Performer segments concentrate the rising trends; Entry over-indexes on declining Slim-Fit Bombers — a managed exit signal. Five whitespace opportunities surfaced for review.
Assortment plan
Set your strategy, review agent scenarios, drill into the style and class framework, then approve
Agent-generated scenarios
AI
Key takeaway
Maximize Sales Growth scenario targets +12% sales vs LY on a 46.8% gross margin, with $153K net opportunity. The plan adds 26 new styles across Men's (led by Court Polo Shirts, Gingham Button-Downs, and Barrel-Leg Denim), protects 16 anchor styles, and removes 6 declining styles (Slim-Fit Bombers and Skinny Jeans). Drill into the class → subclass → style framework to review every action by signal source before approval.
LY Same Quarter
Actuals
$104.8M
Men's · Same quarter last year
Gross Margin
46.1%
Avg Sell Price
$118
Current Plan
No Change
$110.0M
Organic growth +5% only · no new assortment actions
Gross Margin
47.2%
↑ +1.1pts vs LY
Avg Sell Price
$121
↑ +$3 vs LY
With Assortment
Recommended
$115.4M
+10.1% vs LY+4.9% vs current
+$10.6M over LY · +$5.4M over current plan
Gross Margin
48.0%
↑ +0.8pts vs current
Avg Sell Price
$128
↑ +$7 vs current
Category Healthcheck
Real-time performance · gap to plan · recommended actions per department
Gap actions prioritized
AI
Key takeaway
Total sales tracking -18.4% vs plan ($64.7M of $79.3M expected), with Men's and Women's driving the gap. Ten prioritized actions identified — $1.61M recovery opportunity if executed, led by Scale Relaxed Linen Shirts (91% confidence) and Remove Slim-Fit Bombers from 2 Entry doors (88%). Margin compression from Slim-Fit Bombers overstock the largest single drag.
Markdown Agent will execute and monitor daily. KPIs below show projected outcomes.
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Editing Scenario 2: Conservative · 20% off · W35
Adjust per-style decisions below. Click Save & Compare when done to return to the comparison.
AI
Markdown Agent · Inventory Signal
Sell-through tracking at 38% vs 55% target with 6.4 weeks left in season. Slim-Fit Bombers (Outerwear) carrying 2,651 excess units — at current trajectory, expected end-of-season leftover represents $412K stranded inventory. Agent recommends a 20% markdown from W35 (Aug 25) to clear inventory by season close, recovering +$0.2M net vs no-action.
Why Markdown Is Needed · W34 Inventory Signal
Sell-Through Rate
38%
−17pts vs target
Season target: 55%. Current run-rate will miss by 17pts with 6.4 weeks remaining. Markdown intervention required.
Current Inventory
6,820
units on hand
Outerwear · Opportunity stores. 41% aged >90 days. 14.8 WOS vs 6.4 weeks remaining in season.
Expected EOS Leftover
2,651
units if no action
Stranded inventory at EOS: ~$412K. Forces Q3 clearance at deeper discount.
Expected Season Revenue
$3.1M
−$0.5M vs plan
Plan was $3.6M. Without intervention, closes at $3.1M. Markdown can recover ~$200K.
What the agents actually delivered · revenue impact · growth vs target
All agents · post-action
AI
Agentic Impact Summary
All three agents — Assortment, Pricing, and Promo — executed their recommendations and together contributed +$10.1M (9.6%) above last year’s $104.8M baseline. Stacked on top of 5% organic growth, final revenue lands at $120.1M (+14.6% vs LY) — just $0.4M short of the 15% desired target. Assortment drove the largest single-lever impact at +$5.4M; Pricing added +$3.1M margin-accretively; Promo contributed +$1.6M in incremental demand.
LY Sales (Baseline)
$104.8M
Starting point
Organic Growth (+5%)
$110.0M
Final Revenue (after recommendations)
$120.1M
▲ +14.6% vs LY
15% Desired Target
$120.5M
$0.4M gap remaining
Impact by Agentic Lever
Lever
Revenue
% vs LY
Pts above organic
What it did
Assortment Agent
Fashion mix · style exits · depth
$115.4M
+10.1%
+5.1 pts
Shifted fashion/basics ratio in Career Sportswear; exited Le Suit & Slim-Fit Bombers; deepened CK, RL & TH winners.
Pricing Agent
AUR optimisation · elasticity-based
$113.2M
+8.0%
+3.0 pts
Realigned CK premium AUR; intro-priced Cowboy Boot Revival at $64; mix shift to Relaxed Linen & Court Polo lifted ASP to $124.
Promo Agent
Campaign calendar · margin-true
$111.6M
+6.5%
+1.5 pts
Season Kickoff & BMSM events drove incremental traffic in South Florida & New England Flagships. Avg discount depth 20% — within guardrails.
Combined (Agents + Organic)
All levers activated
$120.1M
+14.6%
+9.6 pts
66% of total growth above LY is directly attributable to agent actions. $0.4M from the 15% target.
Revenue Contribution Breakdown
Assortment Agent
+$5.4M
5.1%
Pricing Agent
+$3.1M
3.0%
Promo Agent
+$1.6M
1.5%
Organic Growth
+$5.2M
5.0%
Total vs LY
+$15.3M
14.6%
Growth vs Targets
LY Actuals (baseline)
$104.8M
Organic only (+5%)
$110.0M
With all agents (+14.6%)
$120.1M
15% desired target
$120.5M
Agent contribution: 66% of all growth above LY
$10.1M of the $15.3M total lift came from agent actions. $0.4M gap to target can be closed with a single Assortment depth adjustment in top Flagship doors.
Constraints Applied
Adjust the guardrails and re-run the pricing simulation
Promo Guardrails
Adjust policy thresholds and re-run the promotion simulation
Markdown Agent
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Markdown Agent
Online · Merchandising Intelligence
✕
🤖
Hi! I'm monitoring 3 markdown alerts. Opportunity outerwear has a critical signal — 11.4 WOS with only 2.3 weeks of peak demand remaining.