Case Study
Poo-Pourri Elevates Retail Strategy with Athenic AI
Poo-Pourri Elevates Retail Strategy with Athenic AI
Poo-Pourri Elevates Retail Strategy with Athenic AI
Poo-Pourri Elevates Retail Strategy with Athenic AI
Poo-Pourri strengthens retail strategy with Athenic AI, empowering category managers with data-driven insights to optimize shelf space and boost sales performance across major retail platforms.
Poo-Pourri strengthens retail strategy with Athenic AI, empowering category managers with data-driven insights to optimize shelf space and boost sales performance across major retail platforms.
Poo-Pourri strengthens retail strategy with Athenic AI, empowering category managers with data-driven insights to optimize shelf space and boost sales performance across major retail platforms.
Data Connector
NetSuite
NetSuite
NetSuite
Snowflake
Snowflake
Snowflake
Trusted by startups and Fortune 500 companies
Trusted by startups and Fortune 500 companies
Trusted by startups and Fortune 500 companies
Trusted by startups and Fortune 500 companies
ABOUT POO POURRI
Poo-Pourri, renowned for its innovative air fresheners, operates in the competitive Consumer Packaged Goods (CPG) sector. The company's products are available at major retailers including Walmart, Target, Costco, CVS, and Bed Bath & Beyond.
The company emphasizes data-driven strategies, beginning with retail performance data from Circana (formerly IRI). Although Poo-Pourri's brand leaders and category managers possess deep industry expertise, there is an opportunity to enhance their analytics with ERP integration for more objective insights. To optimize product placement and drive sales performance, Poo-Pourri adopted Athenic AI, bridging the gap between intuition and hard data.
Poo-Pourri, renowned for its innovative air fresheners, operates in the competitive Consumer Packaged Goods (CPG) sector. The company's products are available at major retailers including Walmart, Target, Costco, CVS, and Bed Bath & Beyond.
The company emphasizes data-driven strategies, beginning with retail performance data from Circana (formerly IRI). Although Poo-Pourri's brand leaders and category managers possess deep industry expertise, there is an opportunity to enhance their analytics with ERP integration for more objective insights. To optimize product placement and drive sales performance, Poo-Pourri adopted Athenic AI, bridging the gap between intuition and hard data.
CHALLENGE
In the rapidly evolving retail landscape, securing optimal shelf space is crucial for success. Despite having strong instincts about market potential, Poo-Pourri's brand leaders needed solid data to pitch retailers of their products' competitiveness. The task was made more complex by the vast amount of data available and the need for specialized expertise on retailer priorities, an area where their category managers excel but lacked the tools to analyze complex data efficiently. Lacking efficient tools for analyzing complex data, Poo-Pourri needed a solution that empowered these category managers to independently access and interpret data, crafting compelling, data-backed pitches to retailers.
In the rapidly evolving retail landscape, securing optimal shelf space is crucial for success. Despite having strong instincts about market potential, Poo-Pourri's brand leaders needed solid data to pitch retailers of their products' competitiveness. The task was made more complex by the vast amount of data available and the need for specialized expertise on retailer priorities, an area where their category managers excel but lacked the tools to analyze complex data efficiently. Lacking efficient tools for analyzing complex data, Poo-Pourri needed a solution that empowered these category managers to independently access and interpret data, crafting compelling, data-backed pitches to retailers.
SOLUTION
Poo-Pourri selected Athenic AI to facilitate data-driven decision-making through a user-friendly conversational AI platform. By enabling business users like category managers to “speak” to their data in natural language, Athenic AI converts inquiries into accurate data analyses, enhancing the managers' ability to combine their expertise with concrete data insights.
Poo-Pourri selected Athenic AI to facilitate data-driven decision-making through a user-friendly conversational AI platform. By enabling business users like category managers to “speak” to their data in natural language, Athenic AI converts inquiries into accurate data analyses, enhancing the managers' ability to combine their expertise with concrete data insights.
IMPACT
The deployment of Athenic AI at Poo-Pourri had transformative effects on the company's retail strategy:
Empowered Category Managers: Managers could now independently retrieve actionable insights, using them effectively in negotiations to secure more shelf space and influence product placement decisions.
Enhanced Strategic Decision-Making: By blending instinct with hard data, brand leaders at Poo-Pourri fortified their pitches to retailers, achieving more strategic shelf arrangements.
Efficiency Enhancement: By minimizing reliance on external analysts for routine data interpretation, Poo-Pourri streamlined their decision-making processes, allowing leaders to focus on high-impact initiatives.
Revenue Growth: The data-backed insights provided by category managers through Athenic AI have been instrumental in increasing Poo-Pourri's shelf presence, thereby boosting sales and showcasing strong case studies for stakeholders.
In conclusion, Athenic AI’s conversational analytics platform has significantly empowered Poo-Pourri to integrate data into business strategies seamlessly, delivering tangible benefits in retailer negotiations, operational efficiency, and revenue growth.
The implementation of Athenic AI’s solution at PMC had a significant impact on their operations:
Scalable Data Access: PMC could now scale access to their valuable data across the organization, ensuring that more teams could leverage insights without bottlenecks.
Enhanced Decision-Making: Executives and business gained the ability to make smarter, data-driven decisions, optimizing operations across PMC’s brands.
Operational Efficiency: By reducing the reliance on data analysts for routine queries, PMC improved overall efficiency and allowed their data team to focus on more complex, high-value tasks.
Content Relevance: The ability to quickly analyze web traffic data enabled PMC’s brands to write more relevant articles, aligning content with audience interests and trends.
In summary, Athenic AI’s natural language analytics platform significantly enhanced PMC’s ability to harness the power of their data, driving better business outcomes and operational efficiencies across their diverse portfolio of media brands.
The implementation of Athenic AI’s solution at PMC had a significant impact on their operations:
Scalable Data Access: PMC could now scale access to their valuable data across the organization, ensuring that more teams could leverage insights without bottlenecks.
Enhanced Decision-Making: Executives and business gained the ability to make smarter, data-driven decisions, optimizing operations across PMC’s brands.
Operational Efficiency: By reducing the reliance on data analysts for routine queries, PMC improved overall efficiency and allowed their data team to focus on more complex, high-value tasks.
Content Relevance: The ability to quickly analyze web traffic data enabled PMC’s brands to write more relevant articles, aligning content with audience interests and trends.
In summary, Athenic AI’s natural language analytics platform significantly enhanced PMC’s ability to harness the power of their data, driving better business outcomes and operational efficiencies across their diverse portfolio of media brands.
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