Use case
A household intelligence layer for retail and CPG pilot programs.
Neumas is household-first, but the same data model can support privacy-aware retail and CPG pilots that study replenishment behavior, category velocity, and basket patterns in aggregate.
1. What partners can learn
Partners can study how households replenish staples, what categories experience recurring stockout risk, and how price sensitivity influences repeat shopping.
2. What stays protected
Private household dashboards, personal data, and authenticated user records are not public content and should not be crawled or exposed. Public marketing pages do not reveal user data or secrets.
3. Why this matters
Retail and CPG teams often understand baskets at checkout time but not pantry state between purchases. Neumas creates a richer picture of replenishment behavior.
Start with the public overview, then try the product.
Neumas keeps core company and product information public while private dashboards remain authenticated and protected.