F&B
Agile Decision Making for Product, Supply Chain & Store Expansion Strategies
Automated insights for better store profitability
Automated data
extraction of sales data across 1800 stores.
Eliminated data
silos, enabling real-time decision-making.
Flexible
algorithms to compute product & combo margins.
Store
performance & comparison on a mobile-friendly interface.
Why this F&B Company Loves nanoBI
- Automated data acquisition and reconciliation.
- Machine learning-driven matching and validation.
- Self-serve analytics for better insights.
- Reduction in manual processing time and costs.
Automated data
extraction of sales data across 1800 stores.
Eliminated data
silos, enabling real-time decision-making.
Flexible
algorithms to compute product & combo margins.
Store
performance & comparison on a mobile-friendly interface.
Loved it? Ready to try nanoBI?
About the client
A leading café and F&B chain in India, managing a vast network of 1800 stores. The company requires real-time insights into store performance, product margins, and expansion strategies to maintain profitability and operational efficiency.
Challenges Before nanoBI
- Daily POS data from 1800 stores, but no real-time insights to drive timely decisions with manual intervention to check margins and profitability.
- Manual data aggregation from multiple backend systems (SAP, finance, supply chain).
- Limited visibility into product & combo profitability.
- Lack of data-driven decision-making for pricing, bundling & store expansion.
nanoBI Solution
- Automated data extraction from multiple sources (including SAP) across 1800 stores. Collated data now available every morning for executives.
- Rich interactive analytical insights on web/mobile for executives.
- Flexible algorithms to calculate F&B margins and measure the impact of creating product combos.
- Store performance and peer-store comp metrics on a map interface on the mobile-friendly web page.
How Things Have Changed
- nanoBI’s AI-driven analytics platform has eliminated data silos, enabling real-time, automated decision-making for product pricing, bundling, and store expansion.
- The automated data extraction from 1800 stores has significantly reduced manual intervention while improving margin tracking and profitability calculations.
- With mobile-friendly dashboards, executives now have on-the-go access to insights, helping them make faster and smarter business decisions.
