Suzy Batiz
CEO, Poo-Pourri
Poo-Pourri is a bold, innovative CPG brand specializing in natural air fresheners, known for distinctive marketing and shelf presence. Headquartered in Dallas, Texas, Poo-Pourri competes in a fast-paced consumer packaged goods market, with products available at top retailers including Walmart, Target, Costco, CVS, and Bed Bath & Beyond.
To support rapid growth and maintain retail leadership, Poo-Pourri needed faster, data-driven decision-making to optimize shelf placement, prevent inventory stockouts, and enhance competitive positioning.
Industry: Consumer Packaged Goods (CPG)
Location: Dallas, Texas, USA
Customers: Sold at Walmart, Target, Costco, CVS, Bed Bath & Beyond
In the competitive CPG landscape, shelf space is critical. Although Poo-Pourri’s category leaders had strong expertise, they lacked quick, integrated access to retail data from Circana (formerly IRI) and internal ERP systems needed for strategic retail and inventory decisions.
Manual efforts to combine these datasets made creating compelling, data-driven retail pitches slow and cumbersome. Limited visibility into inventory increased stockout risks, often detected too late, leading to lost sales and missed shelf opportunities.
Poo-Pourri required a self-service analytics solution that enabled business users to quickly explore integrated data and uncover actionable insights without relying on analysts or custom dashboards.
Poo-Pourri adopted Athenic AI’s natural language conversational analytics platform that transforms plain-English questions into actionable retail and inventory insights. Category managers now query product performance, shelf velocity, regional trends, and SKU comparisons instantly without the need for SQL skills or analyst support.
This self-service approach bridges the gap between intuition and data validation, enabling faster, more confident decision-making across retail and category management teams.
Athenic AI was rapidly integrated with Poo-Pourri’s Circana retail data and ERP systems. With minimal onboarding, category managers began querying data in natural language within days. Automated data analysis empowers non-technical users to explore insights easily and take confident action.
Athenic AI revolutionized Poo-Pourri’s retail strategy by empowering category managers and brand leaders with instant access to actionable insights for stronger retailer engagement and shelf optimization.
Empowered Frontline Teams: Category managers eliminate wait times for analyst reports, surfacing insights instantly to enhance retailer partnerships, optimize shelf placement, and monitor performance shifts in real time.
Proactive Inventory Management: Early identification of stockout risks for fast-moving SKUs prevents revenue loss and strengthens retail relationships.
Smarter Retail Conversations: Brand leaders enter meetings with clear, defensible data, boosting credibility with retail buyers and reinforcing strategic instincts.
Operational Efficiency: Analyst dependence drops; planning cycles accelerate, enabling more agile, data-driven cross-functional teams without SQL or dashboard skills.
Key Business Results:
4× increase in retail and category analysis depth
Time-to-insight reduced from days to minutes
Improved shelf presence and positioning in major national retailers
Data-driven retail pitches contributing to measurable revenue growth
Poo-Pourri continues to broaden its use of Athenic AI by integrating new data sources and extending access to cross-functional teams. Originally focused on retail strategy, Athenic AI now serves as a foundational analytics platform driving smarter, faster decisions throughout the company.
Empower your category teams with instant insights and sharper decisions. See how Athenic AI supports smarter retail strategies.
