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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 Services - Recommender System Application Development

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 -

Out of Stock Recommendations

Out of Stock Recommendations

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.

After-sales Recommendations

After-sales Recommendations

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.

Follow-up Recommendations

Follow-up Recommendations

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.

Display Ad Integration

Display Ad Integration

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 Return Recommendations

Product Return Recommendations

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 Recommendations

Proximity Marketing Recommendations

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.

Recommendations for Call Center Executives

Recommendations for Call Center Executives

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 Process for Intelligent Recommender System Development

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 -

Analyzing the Client's e-commerce Website or App 1

Analyzing the Client's e-commerce Website or App

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

 Building Recommender System 2

Building Recommender System/h3>

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

Recommendation Software Integration 3

Recommendation Software Integration

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

Testing, System Enhancement & Deployment 4

Testing, System Enhancement & Deployment

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

Further Improvements 5

Further Improvements

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

Why Choose Us for Recommendation System Development Services?

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 -

Outsource Recommender System Development Services to Flatworld Solutions

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 20 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!

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Recommender System Development Services FAQs

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.
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