You’ve won the contract with a chain of shops. Five branches in the city, weekly visits, a framework agreement signed. A great job, financially significant, which you were determined to secure at all costs.
Three weeks later, the chain’s purchasing manager sends you an email: the branch on Corso Buenos Aires wasn’t cleaned on Tuesday, and the branch manager has complained. He wants an explanation. You search your system for an Excel file showing the week’s rota and see that on Tuesday that branch was assigned to Marco’s team. Marco says he was there and did everything. He has no proof, but he’s certain.
The problem lies elsewhere: you can’t tell at a glance whether your spreadsheet said ‘Buenos Aires’ or ‘Corso Magenta’; you have two branches with similar names in similar areas, and the file isn’t always kept up to date accurately. Perhaps the wrong team went to the wrong place. Perhaps nobody went at all. You don’t know. And the client, who had five sites to check, is now starting to doubt all five.

The risk multiplier in multi-site contracts
A multi-site contract doesn’t just multiply revenue; it also multiplies operational risks. Each site is a separate potential point of dispute. A mistake at one site affects the perception of all the others, even when the others are functioning perfectly.
A client managing five sites doesn’t assess each site separately: they assess the supplier as a whole. A problem at one site quickly becomes ‘they’re not reliable’, and that assessment puts the entire contract at risk, not just the disputed service.
The chaos of manual allocation
In multi-site contracts, the manual allocation of teams is one of the main sources of error. Teams being sent to the wrong site, overlapping shifts, and last-minute replacements that aren’t communicated properly are all common scenarios in operational management, but they become serious problems when there is no system in place to record what actually happened.
If there was a substitution that evening, or if the usual team leader was absent and had sent a replacement who wasn’t familiar with the sites, the likelihood of an error increases. And you won’t be the first to spot that error – the client will.






