Project overview
Business challenge
Restaurants generated sales data continuously, but the reporting process depended on local exports, manual consolidation and weekly reporting cycles.
Management could evaluate campaigns only after the data arrived, which meant optimization usually happened in the next campaign rather than the current one.
The business needed to understand location, product, time, restaurant type and campaign performance fast enough to act.
Our approach
The work started by mapping operational reporting delays, campaign decisions and the dimensions management needed to compare.
A centralized reporting database and automated data collection process replaced local Excel exports and manual consolidation.
Power BI reporting and data quality monitoring turned operational events into a decision layer for management.
Business outcomes
Reporting latency was reduced from slow manual cycles toward near real-time operational visibility.
Campaign, product and location performance became easier to compare while campaigns were still active.
The organization gained a stronger platform for future forecasting, campaign optimization and AI-assisted decision support.