ROOT CODE's Dialog Expert case study on RBC Companies
Article date
08 27 2026
Article Author
Reading Time
3 minutes
ROOT CODE published a case study on RBC Companies
RBC Companies has published an article by ROOT CODE on the results of implementing the Dialog Expert speech analytics system in the Ostrovok Sushi chain.
The article covers practical experience of using speech analytics in the restaurant business and how analyzing conversations between staff and guests helps identify growth points that are difficult to spot through conventional control methods.
As part of the project, the system helped analyze customer dialogues and identify specific patterns in how staff interacted with guests. The data obtained became the basis for changes in scripts and workflows. As a result, the chain's revenue grew by 20% over two months with no additional advertising spend.
This case demonstrates that speech analytics can be useful beyond just service quality control. When properly configured, it becomes a tool that helps managers make decisions based on real data on employee-customer interactions.
For ROOT CODE, this is another example of how AI technologies can be applied to solve specific business problems and deliver measurable results.
The RBC Companies publication covers the project's objectives, the Dialog Expert implementation process, analysis results, and the changes made to the chain's operations after the data was obtained.
Read the full case study on RBC Companies:
"Food court sushi chain revenue grows 20% in two months without advertising"
RBC Companies has published an article by ROOT CODE on the results of implementing the Dialog Expert speech analytics system in the Ostrovok Sushi chain.
The article covers practical experience of using speech analytics in the restaurant business and how analyzing conversations between staff and guests helps identify growth points that are difficult to spot through conventional control methods.
As part of the project, the system helped analyze customer dialogues and identify specific patterns in how staff interacted with guests. The data obtained became the basis for changes in scripts and workflows. As a result, the chain's revenue grew by 20% over two months with no additional advertising spend.
This case demonstrates that speech analytics can be useful beyond just service quality control. When properly configured, it becomes a tool that helps managers make decisions based on real data on employee-customer interactions.
For ROOT CODE, this is another example of how AI technologies can be applied to solve specific business problems and deliver measurable results.
The RBC Companies publication covers the project's objectives, the Dialog Expert implementation process, analysis results, and the changes made to the chain's operations after the data was obtained.
Read the full case study on RBC Companies:
"Food court sushi chain revenue grows 20% in two months without advertising"