Use Case 1AIP Dynamic Pricing for Retail

AIP Dynamic Pricing empowers retail businesses to adopt smart, data-driven pricing strategies that align with their financial and sales objectives. This comprehensive solution offers a robust pricing ecosystem designed to optimize margins and adapt to market dynamics seamlessly.
Overview

AIP transforms the pricing strategy landscape by providing retailers with an advanced suite of tools tailored to their unique needs. It goes beyond traditional pricing tools by creating a holistic pricing ecosystem that drives margin gains and helps meet financial targets through intelligent, dynamic pricing adjustments.
Seamless Data Foundation

AIP integrates effortlessly with ERP systems, ensuring retailers can make informed, real-time pricing decisions. This seamless integration keeps the pricing Ontology and Rules current, enabling effective and timely decision-making.

Customizable Dynamic Pricing

Retailers gain the ability to develop and manage bespoke pricing strategies that respond in real-time to market conditions such as demand fluctuations, competitive pricing changes, and seasonal trends. For instance, AIP's flexibility allows for proactive business rules, such as automatically lowering a product's price by 10% to match a competitor's reduction, ensuring market competitiveness and responsiveness.

Strategic Pricing Execution

With AIP, retailers can directly link pricing strategies to their broader business objectives, whether that's improving profit margins, increasing sales volume, or managing inventory more effectively. AIP ensures that every pricing decision contributes positively to the overarching goals of the business.

Holistic Pricing Management

AIP offers a comprehensive approach to managing prices in real-time. It enables retailers to monitor compliance with pricing rules, assess the profit impact of price changes, experiment with different pricing strategies, and streamline the approval process for adjustments. The platform supports scheduled price updates within budgetary constraints and ensures adherence to pricing regulations, while also allowing for the integration of complex pricing rules and exceptions as business needs evolve.

Use Case 2AIP for Retail Workforce Planning and Management

AIP transforms the way retail organizations manage their workforce. By integrating forecast target data with employee preferences, skills, and shifts, AIP enables a dynamic and efficient approach to workforce management.
Overview

AIP is tailored to provide actionable insights for both national managers and store managers, ensuring that the right person is working the right skill at the right time.
Comprehensive View for National Managers

Provide a top-down view of the workforce across the network, overlayed with key enterprise metrics such as workforce related overspend, over or under roster, and alignment to employee preferences. Business Leaders gain a macro perspective on the allocation and performance of the workforce, providing insights into the variability of store performance based on configurable business metrics, such as revenue, margin, or efficiency variances.

Integrated Workforce Planning for National Managers

Users with appropriate access can drill down from the national view to individual employee shifts, allowing for detailed analysis and decision-making. This feature ensures that national managers can monitor and adjust workforce planning at a granular level. The best/worst performing stores are highlighted to managers - a view that can be configured based on hours, sales revenue or margin, or other business metrics.

Strategic Pricing Execution

With AIP, retailers can directly link pricing strategies to their broader business objectives, whether that's improving profit margins, increasing sales volume, or managing inventory more effectively. AIP ensures that every pricing decision contributes positively to the overarching goals of the business.

Insight Oriented Reporting for Storage Manager

Store managers can configure dynamic metrics and reports to their specific needs, to see the impact of better rostering decisions on customer service, efficiency, and employee satisfaction.

Use Case 3AIP for Marketing Campaign Optimization

AIP helps marketing teams to create, monitor and optimize campaign performance by integrating feedback metrics across multiple sources.
Overview

AIP Marketing Optimization Engine helps marketing teams streamline the management and refinement of marketing campaigns by integrating feedback metrics and employing AI to continually enhance campaign performance, with human-in-the-loop feedback and verification.
Live campaign evaluation

With in-depth A/B testing and granular content management, businesses can achieve sustained campaign improvement - ensuring strategies evolve in alignment with real-world responses and data-driven feedback.

Automatically generate and test new ideas

AIP empowers marketing teams to configure multiple campaigns against single objectives, to test and evaluate different strategies.

Strategic Pricing Execution

With AIP, retailers can directly link pricing strategies to their broader business objectives, whether that's improving profit margins, increasing sales volume, or managing inventory more effectively. AIP ensures that every pricing decision contributes positively to the overarching goals of the business.

Campaign simulation

AIP helps marketing teams generate predictions for potential campaign performance by simulating against previous cohorts, campaigns and metrics.