How COOs in retail can create growth with tamigo

How COOs in retail can create growth with tamigo

Manage KPIs and measure performance and productivity across all your departments and stores, locally and globally with tamigo. With a complete overview of your retail chain, you can easily optimise your workforce operations – either in each department or on an organisational level.

 

With our cloud-based solution that gathers workforce data and allows you to forecast productivity and benchmark performance, tamigo enables you to streamline operations and drive sustainable growth in your international retail chain.

Learn how you can optimise your operations – book a free demo
5 ways retail COOs can optimise operations with tamigo

– Benchmark performance across your retail chain. Forecast and view results with tamigo. Follow data trends across all departments, stores, and locations and benchmark productivity to see which stores excel and which stores need optimisation.

 

– Create sustainable growth. Quickly apply your strategy to grow your retail business with the consistent and reliable data you generate with tamigo.

 

– Improve communication with managers. Create common ground with individual store or area managers by gathering all employee data, updates and communication in ONE accessible solution.

 

– Ensure profitable rotas and transparent labour costs. By loading your budget into tamigo, both you and the store planners can get a precise overview of all the stores’ planned shifts, and subsequently assess the labour costs.

 

– Define and follow up on KPIs. Easily manage KPIs for productivity in each store, department or location. Define common KPIs to get comparable data, so you can learn from the top performing stores and optimise where needed.

tamigo has given both the head office and the individual shopkeepers the opportunity to look ahead with regards to wage percentages, labour costs and turnover – and this can be viewed today, tomorrow and three months from now

Svend Halse Petersen
Rema 1000, HR Manager