Do you have an e-commerce website and are looking for a way to upsell? What if we tell you that by analyzing your customer's buying patterns, past purchases, product/service preferences, demographic details, gender, and other such historical data you can make relevant product/service recommendations and upsell?
As the name suggests, recommender systems can be easily integrated or plugged in to your website, to provide customers suggestions or recommendations for extra products/services they may need along with the current purchase.
A recommender system is a boon for e-com sites as it not only provides suggestions for related products but also suggests alternatives in case the desired product is not available. Flatworld Solutions, a reputed data science firm has been developing highly intuitive recommender systems which can be easily integrated into your existing e-commerce website or mobile app.
Our recommender software is one of the most intuitive and intelligent systems which can improve client interaction and increase sales on your e-commerce website. Our system considers various parameters before making the recommendations such as client purchase behavior, past sales data, personal interests, gender, demographics, etc. The software can recommend related products, suggest alternatives, follow-up, provide after-sales recommendations, etc.
Some of the key features of our recommender system include -
Sometimes, the product your customer is looking for may be out of stock. In such cases, the customer may leave the website and never come back due to the negative experience. Our recommender system has a feature which suggests alternate products to the customer or provides an option for "remind me later" or "notify me" when the product comes back in stock.
Once a customer buys a product from your website, it is important to keep the customer engaged and lure them to buy something in the future. Our recommender system can help in providing after-sales suggestions which are based on the customer's recent purchases. These suggestions can be in the form of powerful messages and relevant offers to attract client to revisit your website.
This is one of the most striking features of the intelligent recommender system we develop. The days after the purchase are crucial when it comes to maintaining a good relationship with the client. Our recommender system can take feedback from the customers about their recent purchase via email or mobile app. Based on this, the system will recommend other related products which the client may buy.
Displaying generic ads for your client on websites has become the thing of the past and is no longer popular. Retargeting is the new and trendy way to keep reminding customers to buy a product or suggest other relevant options. The retargeting ads can be easily integrated into our recommender software. This helps site owners target the right audience with the right ads and increase conversions.
Product returns are one of the biggest challenges faced by e-commerce companies and they are constantly looking for ways to tackle them. Our system can analyze the types of products being returned and suggest relevant alternatives which the customer may like. The software leverages specialized machine learning and artificial intelligence algorithms to make such suggestions.
Proximity marketing is one of the fastest growing ways of marketing. With the help of GPS, Beacon, and NFC technologies, the systems can detect people around the physical stores and send them customized messages to lure them to walk into the store and buy the product.
Our systems can be fine-tuned to provide relevant suggestions to call center executives who are on call with the customer. When the customer contacts the call center of your company, the recommender system will help and keep the call center executive in a better position to cross-sell and up-sell other products to the customer.
Our team of software developers is backed by the skills and expertise of a well-experienced team of data scientists and machine learning experts. They follow a streamlined and a systematic process to build the most intuitive and artificially intelligent recommender software. The key steps involved in our process include -
In the first step, we try to understand the client's existing website or mobile app along with the type of products being sold and the target market
After carefully analyzing the client's e-com website requirements, our software developers make use of AI and machine learning algorithms to build an intelligent recommender system
Once we build the software, it is integrated into your website or mobile app. We can develop the software in the form of a plugin which can be easily integrated or embedded into your existing website or app
We have a special team of software testers who will test the software for different use cases. The bugs detected in this step are fixed to make the software application flawless and robust before deployment
Once the final software product is up and running, we analyze its performance on a regular basis. Based on the results, our team can help you with recommendations for retargeting, email marketing, and personalized marketing
Flatworld Solutions has been a leading software development company for over a decade now and have worked with clients across the globe. We understand the complexities of projects involving artificial intelligence and machine learning and have a separate department to handle data science niche. Our team of software developers collaborates of our experienced data science experts well-versed in deep learning technologies to create intelligent software. Outsourcing recommender system development to us can give you access to the following benefits -
We provide our clients with a flexible and affordable pricing structure which is strictly based on the skills leveraged, time required to complete the project, and the project scope. As most of our team is based in India, we can offer a competitive pricing structure owing to the low wages
Our team comprises of some of the most talented and skilled data scientists and software developers who are experienced in delivering projects pertaining to machine learning and artificial intelligence
We are an ISO certified organization, and have a multi-level quality checking and assurance team to ensures that only flawless and high-quality recommendation systems are delivered to our clients
We are blessed with a state-of-the-art infrastructure - office premises with modern facilities, a high bandwidth network system, advanced microprocessors, and the latest machine learning and deep learning tools to help us deliver high-quality products to our clients
All our employees are made to sign NDAs and confidentiality agreements which ensure that all your confidential data is completely safe with us. We ensure that nobody gets unauthorized access to your data
Delivering a project on time needs collaboration of multiple people simultaneously. But, we understand that its not possible for clients to communicate with different people, so, all our projects are handled by project managers who act as a single point of contact between clients and our employees. Additionally, we allow all feasible options of file sharing to clients to send and receive project details and can also remotely work on their machines if they do not want information to leave their systems
Once we are on a project, we ensure that clients do not face any trouble in contacting the project managers for any details and ensure that the designated person is always available during work hours on email / phone to resolve customer queries.
Flatworld Solutions is one of the most reputed data science as a service companies which has been providing intelligent recommender system development services in India and a plethora of other data science services to its global clientele. Having been in the industry for over 19 years now, we have gained enough experience and expertise to develop innovative data science powered software solutions which leverage the latest technologies such as deep learning, machine learning, artificial intelligence, etc.
Read our article which explains how AI can help in reshaping customer experience.
If you are looking for an innovative, reliable, cost-effective, and efficient data science service provider, then look no further. You may also opt for a free consultation before you decide to outsource the project to us. Get in touch with us today to share your project requirements. We would love to create the most advanced recommender system for your website!
Decide in 24 hours whether outsourcing will work for you.
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It's a system that uses ML and AI to analyze user behavior and shopping patterns to predict products that they're likely to buy. This helps to boost the online experience and sales.
Recommender systems are intelligent content-based systems that use machine learning algorithms to predict what users are likely to buy through collaborative filtering.