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Track and Trace is an innovative feature that allows real-time give-and-take of shipment data between importation stakeholders in the transportation process such as carriers, distributors, and customers. Regular and accurate exchange of shipment information across the company through the internet increases visibility, the precision rate of tracking and evaluation, and effective management & reporting.
Whether you are developing a website, a product or an app (anything at all) you need to spend a lot of time in testing mode. If you let anything out to the public without a process of testing then you are making a mistake. But, once you have released it to the public then you need to be experimenting at all times. The more you learn about your users and how the enagage the easier it will be to move in the right direction. If you are not experimenting then you are guessing and that is not really going to get you anywhere. Maybe you are lucky and the first guess works out but this will only last so long. Test, test, experiment, experiment and then do a little more.
Spotify is the Netflix of music. Their technology is amazing and unmatchable by their competitors.
I think this must be the first (certainly one of the first) articles to address the topic of PMF for mobile apps. - which is really shocking to me.
After reading this post however, its clear why - you really need someone who knows what they're talking about to address the specific nuances here, specifically that there is an additional platform-specific consideration when it comes to apps that isn't necessarily the case with existing definitions of PMF.
I especially love how Andy builds on the principles espoused by @sean, @bbalfour, @andrewchen etc on this topic to build his thesis.
I don't know about SMS but yes I can recommend some best restaurant management software for your client that can help him track the customers and to deal with them smoothly. https://www.softwaresuggest.com/us/restaurant-bar-software
I just going through your post and found quite informative information you mention about responsive web design. We all know responsive web design has become a trend for every small or medium business, I would call it the standard. Here also I found a similar article that would help to boost your knowledge about the importance of responsive web design. Check it out: http://www.designhill.com/design-blog/responsive-web-design-greater-customer-base/
Good work. Thanks!
For mobile marketing, the most tangible form of AI I'm seeing in use today is in chatbots. Other than that, it's still very thin out there, at least to my knowledge.
ML won't just allow mobile marketers to use all the available data to gain intelligent user-specific insights but would go a long way in helping them predict user behavior based on both historical and real-time actions. ML goes a step further and helps mobile marketers identify the underlying factors used to make these predictions as well - helping them create highly focused user segments that need to be treated and communicated with differently.
For instance, if you can leverage ML to predict the purchase patterns of a user on an e-commerce platform, one can be equipped to tailor-make hyper-personalized engagement campaigns sent out at the right time to avoid an abandoned cart situation and increase conversions.
In essence - by creating predictability around users' actions and behavior, you increase your chances of driving higher user engagement, monetization and retention; all on the back of intelligent data.
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