McKinsey calls it "autopilot without policy" — the #1 pitfall in AI-powered pricing. We build a custom pricing control plane that makes your pricing automation safe, auditable, and profitable.
Pricing tools exist. Governance doesn't. Retailers are deploying AI pricing agents without the fairness thresholds, approval chains, or cross-channel attribution needed to run them safely.
Pricing agents deploy before fairness thresholds are codified. AI-generated prices hit the shelf without human review, competitive context, or compliance checks.
McKinsey "Merchants Unleashed," Jan 2026
85% of CPG companies struggle with trade promotional overspending. But measurement tools are built for the CPG side, not the retailer's perspective. Attribution across channels remains a spreadsheet exercise.
PwC via Tredence
Competera monitors prices. Blue Yonder plans markdowns. NielsenIQ measures CPG effectiveness. Nobody orchestrates the end-to-end pricing lifecycle with governance, fairness, and audit trails.
Competitive landscape analysis
A custom-built pricing control plane integrated with your algorithms, competitive feeds, and POS systems — enforcing policy, improving decision quality, and attributing promotional results across channels.
Fairness thresholds, competitive response rules, and approval chains codified as policy. Every pricing decision has an audit trail.
Connect pricing algorithms, competitive feeds, and inventory data into a single decision pipeline with human-in-the-loop governance.
AI-powered markdown timing and depth with guardrails that prevent margin erosion, brand damage, and cross-category cannibalization.
Cross-channel promotional effectiveness measurement from the retailer's perspective — not the CPG vendor's. Connect trade spend to actual sell-through.
Work with your team to understand your pricing workflows, competitive response processes, and what's working today. Build the pricing control plane for one category with real data. Deliver a validated business case and production blueprint.
Learn about the Synapse Cycle™Deploy the custom pricing control plane on our production-grade platform. Integrate with your existing pricing tools, competitive feeds, and POS systems. Build in observability, policy controls, and audit trails from day one.
Learn about Ultrathink Axon™Operate, monitor, and continuously improve based on your team's feedback. Fine-tune pricing models, evaluate fairness metrics, expand to new categories. Success-based fees tied to your margin improvement KPIs.
Learn about the Outcome PartnershipIt's the control plane between pricing algorithms and execution. It enforces fairness thresholds, competitive response rules, approval chains, and promotional guardrails before any price change reaches the shelf or website. Without governance, McKinsey identifies "autopilot without policy" as the #1 risk in agentic retail AI.
Every pricing recommendation passes through the control plane with configurable rules: minimum margin floors, competitive price bands, fairness thresholds by category, and human approval gates for high-impact changes. The system maintains a complete audit trail so you can explain any pricing decision to regulators, vendors, or customers.
At minimum: geographic price consistency rules, promotion stacking limits, competitive response boundaries (to avoid price wars), demographic fairness checks, and vendor co-op compliance rules. Our control plane is configurable per category and channel, with escalation paths when edge cases arise.
We build attribution from the retailer's perspective — connecting trade spend, promotional calendars, and actual sell-through data across in-store, e-commerce, and marketplace channels. This replaces the spreadsheet-based reconciliation most retailers use today and gives you a real-time view of promotional ROI by category, vendor, and channel.
Also explore
From fragmented tools to a governed decision pipeline for merchandising teams.
Start with a Pathfinder Engagement™ — build the pricing control plane for one category in 4-6 weeks. Validated business case, working prototype, production blueprint.