Optimización de márgenes con IA

Use case 1 — Dynamic pricing for high-volatility SKUs

When demand shifts quickly or competitors change prices daily, manual updates are too slow. With dynamic pricing, teams can react to market changes using real-time signals (demand, stock, competitor moves) and apply smart price adjustments while maintaining guardrails.

• Align to market conditions and market demand without over-discounting
• Improve competitive pricing while protecting margin and the bottom line
• Manage frequent price changes across sales channels (stores, ecommerce, marketplaces)

Use case 2 — Retail price management across channels

A common challenge isn’t “calculating a price”—it’s enforcing the right pricing logic everywhere. Retail price management requires centralized control of price lists, price points, and approvals so teams can execute consistently.

• Centralize price management to reduce errors and inconsistencies
• Use dashboards and metrics to track performance and compliance
• Streamline the pricing process with workflows that improve decision-making and speed

Use case 3 — Promotion optimization + promotion forecasting

Promotions shouldn’t be guesswork. Promotion optimization helps you plan the right promo depth and timing while anticipating demand impact with promotion forecasting. For retail and CPG, this is often where margin is won—or lost.

• Improve promo ROI with retail promotion optimization
• Reduce over-promotion and protect profitability
• Support trade promotion optimization software needs (especially for CPG and distributors) by evaluating uplift, cannibalization, and post-promo effects

Step 1 — Connect pricing + demand signals (without heavy IT)

Flowlity consolidates internal and external inputs into usable pricing data for analysis: historical prices, sales, costs, inventory, and market signals. This supports an integrated approach to price management software and planning.

• Connect to your ERP
• Bring in market data like competitor price signals and channel dynamics
• Prepare clean, trusted inputs for pricing analytics and scenario modeling

Step 2 — Model price response and recommend the optimal price

Using data analysis and predictive modeling, Flowlity estimates how demand reacts to pricing actions (including price elasticity) and generates pricing recommendations aligned with your pricing models and constraints.

• Identify the right price per product, segment, and channel
• Test different pricing strategies and quantify expected outcomes
• Provide explainable recommendations that support confident decision-making

Step 3 — Execute price changes faster with control

Pricing at scale needs speed and governance. Flowlity helps teams automate routine decisions while keeping rules and approvals in place.

• Operationalize automated pricing with guardrails and workflows
• Deploy real-time price updates and controlled price changes across channels
• Use dashboards to monitor performance, exceptions, and adoption

Dynamic pricing

A modern pricing optimization software must support dynamic pricing in environments where prices change frequently and conditions evolve fast. This means being able to run scenarios, test price adjustments, and react in real-time to market changes, seasonality, and demand signals. By continuously aligning prices with market trends and internal constraints, businesses can apply smarter pricing rules that balance growth objectives with long-term profitability. Smart guardrails ensure that teams protect margins while still responding quickly to competitive pressure and shifting market conditions.

Competitive pricing

Effective competitive pricing is not about blindly matching the lowest price. The right price optimization software incorporates competitor price signals into a broader decision framework that also considers customer value, positioning, and business constraints. By combining competitive insights with demand elasticity and internal cost structures, pricing teams can adapt to changing market conditions while protecting margins. This approach enables more strategic pricing decisions, ensuring prices remain competitive without triggering unnecessary margin erosion or price wars.

Integration readiness (ERP, CRM, optional API)

To be operational, pricing optimization software must integrate smoothly into the existing ecosystem. Native integration with an ERP (or ERP system) ensures reliable master data and execution readiness, while optional CRM connections add valuable customer context such as segments, contract terms, or negotiated conditions. When needed, API connectivity allows companies to extend pricing logic to other tools and workflows. This integration readiness is key to streamlining the pricing process and turning recommendations into real, scalable execution.

Scalability + usability for business needs

Pricing complexity grows quickly with larger catalogs, more channels, and diverse customer segments. The right solution must scale to thousands of SKUs and complex pricing rules without sacrificing usability. Practical functionality, intuitive workflows, and explainable recommendations enable non-technical teams to adopt the tool daily. This combination of scalability and ease of use ensures pricing teams can support evolving business needs while maintaining control and consistency across the organization.

If your teams are managing pricing across multiple channels and frequent promotions, Flowlity helps you streamline the process, align stakeholders, and deploy advanced pricing recommendations that improve the bottom line—without losing control.