Case Study: Digbeth Dining Club achieves 0.38% labour accuracy and 70–71% GP with Nory

Digbeth Dining Club hits 0.38% labour accuracy with Nory

Digbeth Dining Club, an operationally complex hospitality group in the UK, faced a challenge with inconsistent and manual processes. Their lack of a unified operational system led to guesswork in labour planning, inconsistent stock and waste reporting, and difficulties standardizing across their diverse venues and large event business. To scale sustainably, they needed a single source of truth and partnered with Nory for its AI restaurant operating system.

Nory provided a centralized platform for data-led labour planning, daily waste logging, and demand-based ordering. This solution delivered a remarkable 0.38% variance between planned and actual labour costs and helped maintain a consistent gross profit of 70-71%. The implementation of Nory gave managers clear visibility, reduced manual admin, and provided the structured backbone needed for the business's continued growth.

Digbeth Dining Club