National Tiles Transforms Its Business With a Unified Data Foundation From Domo and Snowflake

Why It Matters

The transformation eliminates data silos, accelerates decision‑making and positions National Tiles to compete with AI‑driven retailers, setting a benchmark for the sector.

Key Takeaways

• Unified Domo‑Snowflake architecture eliminates data silos
• Real‑time insights now serve over 500 employees
• 50+ custom Domo apps automate safety and compliance
• AI‑ready foundation enables predictive inventory allocation
• Scalable data layer supports future retail AI initiatives

Pulse Analysis

Retailers are racing to replace fragmented legacy stacks with cloud‑native data platforms that combine storage, governance and analytics. Snowflake’s elastic data warehouse delivers secure, scalable storage while Domo’s low‑code engagement layer turns that data into dashboards, workflows and applications without heavy IT lift. The partnership has become a reference architecture for businesses that need a single source of truth and rapid time‑to‑insight, especially in sectors where inventory turnover and customer experience are tightly linked to real‑time information.

National Tiles applied that blueprint across five Australian states, consolidating dozens of point‑of‑sale, ERP and logistics feeds into Snowflake and surfacing them through Domo’s visual layer. Within months the user base grew from 60 to more than 500 staff, and the company rolled out over 50 bespoke apps that automate forklift safety checks, dangerous‑goods compliance and frontline reporting. By removing manual data preparation, the retailer cut reporting latency from days to minutes, freeing store managers to act on up‑to‑the‑minute metrics and reducing operational risk.

With a governed data foundation in place, National Tiles is now testing AI models that predict inventory allocation based on demand spikes, delivery windows and regional trends. The move illustrates how a unified platform can serve as a launchpad for machine‑learning initiatives without rebuilding pipelines. As more retailers adopt similar architectures, the competitive gap will widen between those that can scale AI‑driven decisions and those still mired in spreadsheet‑centric reporting, accelerating the overall digitization of the brick‑and‑mortar sector.