Change Please (CIC)

Change Please (CIC) is a supplier of goods and services to public sector organisations across the UK.

Change Please (CIC) is connected to 7 direct awards. Its largest procurement category by award volume is Food, beverages, tobacco and related products.

Recent contract awards to Change Please (CIC)

Browse public sector contract awards given to Change Please (CIC). Select a contract to see contract details and award amount.

Showing 7 of 7 results

Change Please (CIC) trend analysis

Explore a comprehensive breakdown of Change Please (CIC)'s contract history, including top procurement categories, award trends over time, and key buyer relationships.

Top procurement categories associated with Change Please (CIC)

The procurement categories Change Please (CIC) wins the most work in, ranked by award notices published over the last five years.

TitleCount
  1. Food, beverages, tobacco and related products
    2
  2. Repair and maintenance services
    2
  3. Hotel, restaurant and retail trade services
    2
  4. Architectural, construction, engineering and inspection services
    2
  5. IT services: consulting, software development, Internet and support
    2
  6. Administration, defence and social security services
    2
  7. Agricultural, forestry, horticultural, aquacultural and apicultural services
    2
  8. Business services: law, marketing, consulting, recruitment, printing and security
    2
  9. Education and training services
    2
  10. Other community, social and personal services
    2

Change Please (CIC) awards over time

See Change Please (CIC)'s contract awards over the last 5 years.

Buyers awarding contracts to Change Please (CIC)

The public sector organisations that have awarded Change Please (CIC) the most contracts. Ranked by award notices published in the last five years.

The public sector suppliers most searched for on Stotles, with the number of notices naming each one.

Want to research a competitor or partner?

From first signal to bid submission, Stotles turns procurement chaos into predictable pipeline.