Price Optimization
Price with precision, not guesswork. Most retailers discover this too late — in a post-mortem, a quarterly review, or a customer complaint. Ward surfaces it while there’s still time to act.
Ward monitors price elasticity shifts in real time and recommends adjustments that protect margin without sacrificing volume.
How Ward catches what your reports miss
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
Every finding shows its work. Confidence scores, forecast blockers, goal relevance — pin it, ask about it, or investigate deeper.
Ward builds charts on the fly from your question. Revenue vs. margin, category comparisons — generated in seconds, pinnable to any dashboard.
Sample insight card
Dairy category showing -1.4 elasticity this week vs -0.8 baseline. Consumers responding to price changes 75% more than normal.
Pricing by role
Available for every vertical
Pricing by integration
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.
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.