F&B

Agile Decision Making for Product, Supply Chain & Store Expansion Strategies

“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”

Nikhil Bandi
CTO, APAC Financial Services private Limited

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

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.

“The team deeply understands financial services and is highly accessible for guiding APAC on the platform's technology and features.”

Nikhil Bandi
CTO, APAC Financial Services private Limited

How Things Have Changed

  1. nanoBI’s AI-driven analytics platform has eliminated data silos, enabling real-time, automated decision-making for product pricing, bundling, and store expansion.
  2. The automated data extraction from 1800 stores has significantly reduced manual intervention while improving margin tracking and profitability calculations.
  3. With mobile-friendly dashboards, executives now have on-the-go access to insights, helping them make faster and smarter business decisions.

Automated insights for better store profitability