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Make customers stick around with our smart solutions

Leverage our smart solutions to get a 360° view of every step your customer takes while buying from you and turn these insights into more sales. 

The retail and
e-commerce industry at a glance 

The retail industry is changing fast, and customers now expect smooth shopping experiences.  

Whether the product is food, clothing, or any other tangible item, the industry is diverse, covering everyone from small-scale businesses to multinational corporations. With consumers being more health-conscious and environmentally aware, the industry continues to be influenced by factors like rapid urbanization and population growth.

To keep up with ever-changing trends, retailers need to manage stock, meet customer needs, and comply with safety standards, all while making smart decisions to grow their businesses.

Here are some of the problems retailers face:

Relying on guesswork to make key decisions

As a retailer, you’re expected to juggle customer service, sales promotions, inventory management, and distribution all at once. Without clear insights into how your physical and online stores are performing, you risk losing money and missing out on opportunities to grow. Reliable data is essential to tie it all together effectively.

Not catering to customer needs

Customers today expect personalized experiences and convenience. If you fail to meet these expectations, they’ll quickly turn to your competitors. Without the right technology and data, you’ll risk falling behind, leaving your customers agitated and eroding any chance of having them come back to buy more from you. 

Lack of omnichannel integration

In today’s digital world, consumers move constantly between online stores and physical locations. Unfortunately, not many retailers have the technology or processes to effectively connect all these channels. This lack of integration can disrupt customer experiences, such as inconsistent promotions or pricing across channels and purchases that aren’t in sync with available inventory.  

Ineffective retail inventory management

A poorly managed inventory can drain your capital and cause your channels to not deliver what your customers demand from you. Having a mismanaged inventory can also prevent you from focusing on your best-selling products, leading to tied-up resources and significant financial losses. 

Lack of data security measures

Retailers are prime targets for cyberattacks due to the sensitive nature of the information they handle, like personal and transaction details. A single data security breach can not only hurt your sales but can also result in long-term loyalty issues, causing long-term harm to your brand. 

What we do to improve the shopping experience

To solve these common yet critical problems, we provide the following solutions to help you bridge the gap between you and your customers. 

Omnichannel Analytics

Omnichannel Analytics

Our omnichannel analytics solutions helps you get a complete view of customer behavior across both your online and offline channels. By merging all these channels, you’ll get a comprehensive, real-time view of the entire purchasing journey of your customers. Analyzing their journey will enable you to optimize your inventory and personalize your shopping experiences across every touchpoint in your channels.

Cross-functional AI/ML Enablement

Whether it’s keeping track of your inventory, predicting customer needs, or monitoring the quality of your product, our AI/ML solutions keep your teams aligned and empowered with data. By getting these comprehensive insights, our solutions ensure your production process maintains the quality of your food, apparel, or any other product while helping you expand your reach to various customers. 

Cross-functional AI/ML Enablement

Demand Forecasting 

Demand Forecasting

It can be often difficult to predict how much stock you need, which can result in running out of your best-selling products or having too many products that don’t sell. Our demand forecasting solutions use data from your past sales, customer trends, and market conditions to accurately predict products that will have a higher demand in the future. This means you’ll know when to keep those best-selling products stocked for your customers.  

Customer Engagement Analytics

Retailers often find it difficult to identify which customers will stay loyal and which are at risk of leaving. Our customer engagement analytics solves this by analyzing customer lifetime value and predicting customer churn. With these insights, you can take proactive steps to keep high-value customers engaged and reduce churn by targeting at-risk customers with personalized offers or outreach before they leave.

Customer Engagement Analytics 

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