What your Fashion dashboards miss about Pricing.
No dashboards. No queries. Pricing findings delivered every morning.
Why Fashion retailers choose Ward for Pricing
Ward monitors price elasticity shifts in real time and recommends adjustments that protect margin without sacrificing volume.
Ward continuously measures price elasticity by category, tracks competitive pricing signals, and models the margin-volume tradeoff.
What changes for your team
- Real-time elasticity measurement
- Category-level price sensitivity
- Competitive price monitoring
- Margin-volume tradeoff modeling
Why pricing matters
in fashion retail.
Fashion pricing is a one-way ratchet: mark down too early and you leave money on the table, too late and you're stuck with deep clearance. Ward monitors style-level sell-through velocity against time remaining in season and recommends optimal markdown depth and timing to maximize total margin dollars across the selling window.
End-of-season markdown cadence, 120 stores
Mid-season, Ward identifies dozens of styles selling below plan and segments them by severity: some need immediate deep markdown, others need moderate discounts, and a group should hold price because they're trending toward natural clearance. This tiered approach recovers significant margin versus the standard blanket-markdown playbook.
What a Ward card looks like.
Dairy category showing -1.4 elasticity this week vs -0.8 baseline. Consumers responding to price changes 75% more than normal.
Fashion pricing:
the shift.
- ×Markdown timing
- ×Size curve misallocation
- ×Style velocity prediction
- ✓Real-time elasticity measurement
- ✓Category-level price sensitivity
- ✓Competitive price monitoring
Fashion KPI impact.
Ward requires at least 2 full selling cycles to baseline style velocity and markdown timing. Results vary between basics and trend-driven categories.
Questions about pricing.
SAP, Oracle Retail, Shopify, BigQuery, Snowflake, flat files, and any system with a REST API.
Yes. Ward scales from 5 stores to 5,000.
Based on store count and data volume. POC engagements at a fixed fee.
Fashion pricing
by data source.
More Fashion insight cards.
Insights surface
Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.
Insights become actions
Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.
Your team responds
Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.
Outcomes measured
Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.
Agents get sharper
Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.
Fashion retailers: see what Pricing problems Ward catches.
Root causes, not just alerts. See it on your data.
Find out what your data has been hiding.
Tell us about your operation. We’ll show you the problems Ward catches — and the ones your current tools miss.