New Delhi, Nov. 6 -- Restaurant businesses generate vast amounts of operational data across point-of-sale (POS) systems, inventory, procurement and kitchen operations. Yet, many continue to rely on disconnected software and spreadsheets to manage these functions, making it difficult to establish a unified view of costs, consumption and performance.

As restaurant chains expand and explore artificial intelligence (AI), this fragmentation creates a bigger challenge. Predictive forecasting, automated inventory management and menu optimization depend on accurate, connected data. Without that foundation, AI investments risk producing unreliable recommendations and operational inefficiencies.

For restaurant operators, the challenge extends bey...