Artificial Intelligence tool that has started affecting our lives in a huge manner. At GoodWorkLabs, we have analyzed and understood its potential to transform businesses across varied industries. Just like other technologies we are prepared and geared enough to tap into the potential of AI.
At Our GoodWorkLabs, artificial intelligence company we have set up an advanced center of Big Data and Artificial Intelligence technologies and have worked with a slew of clients across Startups and Fortune 500 companies to build multiple Artificial Intelligence solutions for their business.
Visit our AI portfolio to know more about the recently Implemented AI solutions
AI has made its way out of the labs and towards our daily lives. And judging from the pace of activities in the startup community and the major IT powerhouses, it will only grow in its ability to help us get things done easily & effectively.
Most AI solutions today are fielded by the big players in IT or Artificial Intelligence Companies. For example, Apple’s Siri or the features that Apple has integrated directly into iOS11, Google’s many sophisticated search solutions, Amazon’s highly intelligent recommendation engine, and IBM’s Watson, have all proven that Artificial Intelligence is here to stay.
We expect to see a new wave of artificial intelligence solutions that also offer value to small start-ups. This is a very crowded space, with plenty of venture capital funds for entrepreneurs with capabilities in a wide range of AI disciplines.
We depend a lot on artificial intelligence, for example when we order from Amazon, ask Siri for instructions, talk to a customer service representative, get recommendations on the world of fashion or add a friend suggested on Facebook, fraud detection, musical recommendations, we interact indirectly with an AI engine.
Here’s how GoodWorkLabs – Artificial Intelligence Company can help you harness the potential of AI in your business model.
1) AI for Sales Boost
What if your sales technology was so smart that it knew the deals you were working on via your calendar, email, and phone interactions? That’s nothing but AI in action. Being an artificial intelligence company, our AI services automatically builds and monitor your pipeline so that you can focus on closing more deals rather than on manual data entry. Too much on your plate? Use AI as your sales assistant in finding the data you want, reminding you to follow-up with certain prospects, and ensuring nothing falls through the cracks.
2) AI for Innovative Marketing Solutions
The Big Data trend gives businesses an incredible amount of information about buyer behavior, but no real way to use them. Just add the AI to get accurate forecasts and qualified leads. Marketers can now classify and create audiences based on the likely future actions of users. AI can even automate e-mail synchronization, offer recommendations to customers, and predict customer sentiment and buying behavior from time to time.
3) AI for Customer Retention and Customer Service
How do you know when customers aren’t happy if they don’t tell you? Until now, customer services were half supposed to employ mind readers to understand the needs of customers. Now the AI can capture signals that your team might miss and can find correlations and feelings in customer data. If a customer does not feel so confident about your company, you can take proactive steps to correct the situation before he tells you he is unhappy.
4) AI for Fashion
With Artificial Intelligence, you can create a personal shopping assistant for your customers. You can create an immersive shopping experience for customers while understanding their style preferences, prices, and information about this information in real-time showing popular picks and target customers who are more likely to buy your products. Create a fashion / personal shopping assistant with AI to eliminate much of the researching process on both ends and bring you closer to your customers.
5) AI in Finance
Artificial intelligence solutions are used in banks, investment firms, etc. to automate daily operations such as algorithmic trading, quantitative analysis, marketing forecasts, etc. The potential of AI in the capital markets is huge. Not only is it cost-effective, but it helps generate real-time information for clients.
Artificial Intelligence can transform the future of your business by renovating your processes. Your data will be minutely detailed and more usable. And with our technological ‘know-how’, you can rest assured of overall process refinement.
Leading artificial intelligence companies, understand the nuances of technology and implement machine learning, deep learning, natural language processing, and other data sciences to ensure that we create AI that is powerful and reliable.
GoodWorkLabs has worked with both Startups and Fortune 500 companies across different industries to create powerful Artificial Intelligence solutions that have re-engineered the way companies do business.
GoodWorkLabs has worked very closely with a Fortune 500 company in the automobile space to create an AI racing assistant to improve its racing track experience.
The objective was to identify the most optimal path for the vehicle by analyzing the complete race track. We analyzed the track using sensor data and also implemented an advanced Deep Q learning with Tensorflow. We used the most powerful technologies, such as Python and PyTorch, to ensure speed and accuracy, and created an extremely efficient AI racing assistant.
View the full case study here
GoodWorkLabs was approached by a Fortune 500 company to build a travel recommendation engine on Artificial Intelligence and ML models for its community-based travel mobile app. Through this app, users could take trips to nearby places, explore the community & more. Now, they wanted to make the app more engaging and personalized by providing travel recommendations to users or visitors.
For the same, our team of data scientists has created an effective recommendation system in which –
Users were recommended places to visit based on their travel history
Users were shown a list of nearby tourist attraction when visiting a given location
Users were shown recommendations based on their tastes and preferences, as well as updates from other travelers with similar interests.
We used machine learning models to create recommendation engines and then formed the algorithm to analyze key data points. The technological stack that we have implemented in the construction of these machine learning models such as Python, Tensorflow, Sklearn, iOS CoreML, Elasticsearch.
As a result, we have created a hybrid recommendation model that is both content-based and collaborative.
View the full case study here.
In order to extract various product-related information, a Fortune 500 company in the logistics industry approached GoodWorkLabs to help them with an artificial intelligence solution that enabled image scanning and processing of product information. This scanned information had to be sent to a web application for further analysis.
Our team of data scientists took the problem head-on and created a machine learning solution that used the Faster-CRNN algorithm in solving the problem statement. The technology stack used to implement this image scanning ML model was Python, Pytorch, Microsoft Azure, OpenCV. We ensured that the ML models were well trained to ensure accurate & quick image scanning.
Read the full case study here.
Consult our intelligent experts on Artificial Intelligence today, and change the way your business works!