Pricing · NCR · VP Merchandising

Price Optimization + NCR: Built for VP Merchandising

Most retailers discover Pricing problems too late. Ward delivers automated insight cards — what changed, why, and what to do — while there's still time to act. Your Merchandising team has the data. What they don't have is bandwidth to find what's buried in it.

Price Optimization powered by NCR Voyix

Price Optimization is the process of ward monitors price elasticity shifts in real time and recommends adjustments that protect margin without sacrificing volume.

When connected to NCR Voyix, Ward reads pos transactions, item-level sales, tender data and enriches them with contextual signals to generate pricing insight cards. Ward reads NCR transaction data via API or data export. Real-time or batch, depending on your NCR configuration.

How Ward delivers Pricing insight cards: Ward continuously measures price elasticity by category, tracks competitive pricing signals, and models the margin-volume tradeoff.

Key capabilities

  • Real-time elasticity measurement
  • Category-level price sensitivity
  • Competitive price monitoring
  • Margin-volume tradeoff modeling
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Live product demo — Ward analyzing retail data in real time.

How Ward connects to NCR Voyix

Ward integrates with NCR Voyix POS and Aloha for convenience and restaurant retail. Transaction-level data powers daypart analysis and impulse optimization.

Setup: Ward reads NCR transaction data via API or data export. Real-time or batch, depending on your NCR configuration.

Data Ward reads from NCR

POS transactions
Item-level sales
Tender data
Daypart summaries
Loyalty data

Impact metrics with NCR

Attach Rate
Adjacencies mapped per daypart
Impulse cross-sell patterns identified by time of day.
Daypart Revenue
Underperforming hours exposed
Traffic and weather data pinpoint revenue-light dayparts.
Shrinkage
Slow-bleed loss detected
POS anomaly patterns caught that periodic audits miss.
Basket Size
Bundle opportunities surfaced
Item-level sales mined for actionable upsell patterns.

Data lake enrichment

Ward enriches NCR data with: POS transactions, Weather & events, Loyalty data, Competitor proximity, Demographic data

Your category managers are drowning in spreadsheets.

Pain points
  • ×Promo planning relies on last year's playbook, not this week's data
  • ×Assortment reviews happen quarterly when they should happen daily
  • ×Price changes are reactive, not predictive
  • ×No visibility into true cannibalization across categories
  • ×Vendor negotiations lack real-time sell-through evidence
How Ward helps
  • Insight cards flag promo cannibalization the day it happens
  • Assortment gaps and whitespace opportunities surface automatically
  • Price elasticity shifts detected before margin erosion compounds
  • Category-level performance cards replace manual spreadsheet reviews
  • Vendor scorecards generated from actual fill rate and quality data

Retailers lose an estimated $300B+ annually to suboptimal assortment and promotional decisions. — McKinsey & Company

What a Ward insight card looks like

Ward · Pricing06:47 AM

Dairy category showing -1.4 elasticity this week vs -0.8 baseline. Consumers responding to price changes 75% more than normal.

✓ Action recommendedNCR data

Frequently asked questions

Ward reads NCR transaction data via API or data export. Real-time or batch, depending on your NCR configuration. Data points include: POS transactions, Item-level sales, Tender data, Daypart summaries, Loyalty data.

Your category managers are drowning in spreadsheets. Ward solves this with automated insight cards: Insight cards flag promo cannibalization the day it happens. Assortment gaps and whitespace opportunities surface automatically. Price elasticity shifts detected before margin erosion compounds.

First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish robust baselines for your specific operation.

No. Ward sits on top of your existing stack. It is the proactive intelligence layer that watches your data continuously and delivers insight cards — so your team acts on findings instead of hunting for them.

Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

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.

Real-time detection Root cause + recommendation
02

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.

Tickets created automatically Dispatched to the right person
03

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.

Vote up / down Ticket completed Reasoning attached
04

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.

KPI impact tracked Results vs. prediction scored
05

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.

Cycle repeats, sharper each time
$1.8T
Projected global AI market by 2030
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Customer acquisition lift for data‑driven orgs
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Foundation models shipped since 2022
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Guarantees any single model stays on top

See what pricing problems Ward catches.

Root causes, not just alerts. See it on your data.

Get a demo

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.

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