Category: New Price2Spy features
9 September 2020 - 12:02, by , in New Price2Spy features, No comments
We’re very pleased to announce a great feature that we’ve been working on very hard for the last couple of months: we enabled Price2Spy to Capture screenshots! Yes, you heard it right. With an ever-growing number of clients, we always keep getting fresh ideas and constantly finding new ways to make Price2Spy even more useful....
One of the features that Price2Spy is the proudest of is certainly API. As you already know, we’re constantly improving all our features, and API makes no exception. The newest Price2Spy API 2.10 version will bring something many clients asked about. From now on, you’ll be able to Retrieve captured screenshots – this feature is...
13 August 2020 - 13:29, by , in New Price2Spy features, No comments
Our development team were pretty active in previous weeks –  and  hence Price2Spy got  quite a new number of  reports / features. Price Competitiveness report is one of our brand new report and implemented in Price2Spy Reports and Dashboard section. From now on, you can select the Price Competitiveness report and compare chosen site’s pricing data against other sites to...
It is a well-known fact that some sites do their best to prevent automated price monitoring performed by Price2Spy and similar tools. Ocado.com is one of these sites, putting in a lot of effort in banning such traffic. After we have exhausted all classic ban-avoiding techniques, we have resorted to our strongest weapon – Stealth IP...
Sometimes, you just know when it’s time for a change. Today, we’re proud to announce the launch of our revamped Price2Spy 2.0 app! We’ve redesigned our app with you in mind.   Guided by the saying that a suit does not make a man, but it says a lot about him, we decided to tackle the...
Product matching in Price2Spy Previous topic: (Part #9) ML does work, but it’s not magic Overall results did vary from one industry to another, from one client to another – is also very much depended on factors N (number of matching candidates) and M (the ease of match approval vs establishing a match fully manually)...
Product matching in Price2Spy Previous topic: (Part #8) Product matching via ML: Testing on various industries/languages Next topic: (Part #10) Product matching via ML: The results Since we said that we cannot afford to have wrong matches in Price2Spy, we were particularly careful when testing ‘false positives’ – these were matches where ML scored a...
Product matching in Price2Spy Previous topic: (Part #7) Product matching via ML: Post-processing Next topic: (Part #9) ML does work, but it’s not magic The Product Matching project had been going on for a while, now was the time to remember our initial decisions, and put them to the test: Languages – we have too...
Product matching in Price2Spy Previous topic: (Part #6) Evaluating ML training results Next topic: (Part #8) Testing on various industries/languages This part was logically the most difficult to comprehend, at least for me. Let’s give it a try: We have 50K products from Set A and 40K products from Set B. We have already eliminated...
Product matching in Price2Spy Previous topic:  (Part #5) ML training Implementation Next topic: (Part #7) Post-processing How do you know if your ML model works fine? The answer is seemingly simple: you run all of the potential matching combinations through Random Forest (RF), in order to get a matching score of each combination. Then, if...
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About Price2Spy Blog

This blog is a place for eCommerce professionals to discuss ideas, methodologies and strategies to compete more effectively in the ever more tightening world of online retail. We explore things like competitive price monitoring, competitor business intelligence, competitive pricing, and counter-intelligence in general.

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