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Our systems

Systems that fit the business

Working systems Cambridge Technology builds, deploys and fits to how a business actually trades. Open any one of them and every screen you see is a capture of it running.

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How we are different

We fit the system to the business, not the business to the system

Most software asks a business to work the way it was built. That is fine until the fit is wrong, and then it is a daily tax paid by the people at the counter. A till written for a restaurant, put into a shop that sells by weight, is the clearest version of it.

A system built for someone else

A restaurant till, running a grocery shop.

  • Table number unused
  • Covers per sitting unused
  • Kitchen ticket unused
  • Split the bill unused
  • Stock counted by portion forced
  • Price per item kept

4 fields the counter staff skip, every day

A system built for you

The same job, fitted to how the shop actually trades.

  • Aisle and shelf kept
  • Basket size kept
  • Weighed goods kept
  • Loyalty at the till kept
  • Stock counted by weight kept
  • Price per item kept

0 fields the counter staff skip, every day

How they are delivered

Every one of these is fitted before it is handed over

None of these arrives as it is shown here. Each is configured against a real operation, carries the client's own branding rather than ours, and keeps only the parts of the system that business actually uses.

  • Configured against how the business already works, not the other way round
  • Delivered under the client's own name and identity
  • Modules the business does not need are taken out rather than hidden
  • Extended where the operation needs something the system does not do yet
The systems

Systems already deployed

9 systems

Something else

Need something that isn't on this list?

The systems above are a handpicked few, chosen to show on the site out of more than 400 projects we have delivered. If what your business needs is not one of them, that is custom software and app development work, and it is exactly what we do next.

Start that conversation

See it against your own operation.

Tell us how the business trades today and we will show the system working against that, rather than against a demo dataset.

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