Retail pricing no longer needs to take weeks. With Turing Intelligence, pricing teams move from strategy to store-ready prices in under 48 hours. Agentic pricing systems parse strategies written in natural language, generate margin-optimized recommendations, run real-time “what-if” simulations, and push approved updates directly to POS and ERP systems with full traceability. The result: faster decisions, fewer manual hours, higher margins, and 95%+ compliance across categories and regions.

Most retail pricing processes are slow, fragmented, and compliance-heavy. Rolling out price changes can take 4–8 weeks, involving multiple analysts, spreadsheets, and system hand-offs. Strategy changes—like adjusting KVI thresholds or price endings—require manual updates across systems, often leading to errors or rule violations. Competitive moves or vendor cost changes can’t be tested instantly, leaving teams reactive instead of proactive.

With Turing Intelligence, retailers can deploy an agentic pricing system that ingests strategies in natural language, parses them into executable logic, and generates real-time recommendations based on costs, competitive data, and margin goals. The system integrates with ERP, POS, and competitor crawlers, providing full decision traceability and exception-based review workflows.

What This Enables

• Upload and edit pricing strategies in natural language
• Apply strategies across categories and regions instantly
• Run “what-if” simulations for cost changes or competitive shifts
• View decision trails showing rules applied, conflicts, and rationale
• Approve, export, and sync prices to stores and eCommerce with full audit logs

• Time-to-decision: Reduced from 8 weeks to 1–2 days
• Labor savings: 30–50% fewer analyst hours spent on manual updates
• Margin lift: 5–15% increase per category
• Compliance rate: ≥95% automated rule enforcement
• Scenario agility: Cost or competitive change simulations in minutes

Turing’s AI Pricing Agent executes across the full pricing lifecycle:

• Rule Parsing Agent: Converts natural-language strategy docs into structured, editable rules
• Recommendation Engine: Suggests prices based on margin, comp, and cost constraints
• What-If Simulator: Models the impact of cost changes, KVI shifts, or competitor moves instantly
• Confidence & Rationale Engine: Explains each recommendation in business terms
• Execution Agent: Pushes approved prices to POS/ERP systems with traceability

Why Turing

Turing Intelligence makes price optimization an always-on capability—not a quarterly project. From ERP integration to human-in-the-loop validation, our agentic approach blends automation with oversight, ensuring speed, compliance, and profitability.

A national grocery chain needed to adjust pricing across 2,000 SKUs in the dairy and snacks categories before a key seasonal promotion. Historically, this process took 4–6 weeks due to rule interpretation, manual spreadsheet updates, and compliance review.

Using Turing’s AI Pricing Agent:

• The Rule Parsing Agent ingested the category pricing strategy, translating constraints like “KVIs within ±1% of competitor” and “private label 10–20% below national brand” into executable rules.
• The Recommendation Engine pulled live cost, comp, and sales data, generating margin-optimized prices in minutes.
• The What-If Simulator stress-tested the strategy against a simulated 7% vendor cost increase, flagging 35 SKUs for adjustment.
• Analysts reviewed only 8% of items (exceptions), approved the rest, and the Execution Agent synced the final list to POS and eCommerce platforms.

Result: Price rollout completed in under 48 hours, projected category margin lift of 8.4%, and full compliance with competitive and margin rules.