Tenderlake was founded out of a frustration of how difficult and labour intensive it can be to find all relevant public contracts.

In this article we look at a couple of ways where Tenderlake not only makes it easier to find relevant contracts, but also finds more public contracts than simple searching.

It's not what you SAY – it's what you MEAN

One of the ways Tenderlake discovers more relevant contracts is by learning from user feedback.

On every notice, there is an opportunity to let Tenderlake know if you consider a contract relevant or not. When this feedback is given, Tenderlake learns from it.

Tenderlake learns what kind of additional text in contracts to look out for, and it learns what kind of CPV codes are best captures the most relevant contracts.

Imagine a supplier who is offering “training services” and have setup an alert to find all notices that contains this phrase.

When the supplier receives notices in Tenderlake the best ones are marked as “relevant” and any that are totally irrelevant as “not relevant”.

This enables Tenderlake to learn what is being said in the relevant notices versus those that are not.

Imagine a relevant notice saying, “we are looking for a provider of training services to help up-skill our workforce”. 

From this Tenderlake can infer that a notice that says, “we are looking for someone to help us up-skill our workforce” is likely to be relevant, even though it doesn’t mention the phrase “training services”.

Learning from user feedback enables Tenderlake to identify notices that are very likely to be relevant but not matched by any of the existing alerts’ search terms.

This often leads to a substantial increase in the number of additionally discovered contract opportunities, and saves time too, because the user doesn’t have to experiment with a long list of variations of any search terms. Tenderlake works this out by itself from user feedback.

And speaking of feedback, there is no need to give feedback on all identified notices. Just give “relevant” feedback on those what are really great and “not relevant” feedback on any that are really off the mark.

Tenderlake also learns the right CPV Codes

Similar to how Tenderlake learns new search phrases from user feedback, it also learns which CPV Codes gives the best results.

Some buyers are quite diligent when it comes to using the right CPV Codes for a contract, but most buyers prefer to stay within a handful of generic codes that they normally use. And some notices are simply classified completely wrong. 

Again, just because you have specified a particular set of CPV Codes in an alert, doesn’t mean that you have to miss out on relevant contracts that uses a different CPV Code, because Tenderlake will learn from your feedback that there are other CPV Codes that, under certain circumstances, are indicators of a relevant notice.

This saves time as you don’t have to try out endless CPV Codes and you don’t have to be alert to the introduction of new CPV Codes to get great results.

Just explain what you are looking for in your own words

Traditionally, creating search alerts to identify new contracts has required translating what your organisation sells, into a very simple search phrase. 

This is not the way we would explain to another human being what our organisation does, and It can sometimes be to simple a way of capturing what a modern organisation is able to deliver.

At Tenderlake we realise that almost all organisations have already explained more comprehensively what their organisation does. This is done one the organisation’s website, in its white papers and marketing materials.

The idea behind Tenderlake Genius is that we can reuse this comprehensive explanation of what the organisation is able to do and use it to teach Tenderlake what to look for. Just drop a link to a webpage that describes a particular product or service from your organisation into Tenderlake. You can also use a document (word, pdf or text).

This not only saves a lot of time as you don’t have to perform the translation of what your organisation does into simple searches that captures it, but Tenderlake is usually better at distilling what your organisation does as it can test how it resonates with millions of historical procurement document in a fraction of a second.

Tenderlake will test it has understood what you are trying to “teach” it by immediately showing you what it believes to be relevant opportunities. 

These opportunities will often (but not always) be expired, but they simply serves as examples of the type of opportunities Tenderlake will be looking for in the future.

You can give immediate feedback on these opportunities and every time you do so, Tenderlake updates its understanding. 

I just want more like these

Another time-saving way of constantly identifying great opportunities is to assemble a handful of the type of contract opportunities you would like to find more of. Be it contracts you have submitted bids for or just great expired opportunities you have identified.

Just move them into a folder in Tenderlake and with one click you can create a search that alerts you to similar contracts when they come out. 

All the above are examples of how Tenderlake not only makes it easier to identify great public opportunities, but also identifies more opportunities than using simple matching alerts.

Contact us today and arrange an online demonstration of Tenderlake - and see the magic for yourself.