Deep Learning meets
E-commerce
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Actionable intelligence from every customer touchpoint
As e-commerce companies compete to provide increasingly personalised experiences, artificial intelligence is providing a new capability to understand and predict customer behaviour.
Re:infer helps e-commerce brands to better understand customers needs, generate new leads and provide an enhanced customer experience.
Re:infer creates opportunities for growth
Single customer view
**Re:infer** builds a complete view of the customer journey by automatically identifying experience in multiple channels, from sales calls, chats, online reviews, forums and email.
Product intelligence
**Re:infer** extracts real-time insights into product, inventory and fulfilment so that brands can quickly monitor and respond to trends.
Enhanced customer experience
**Re:infer** identifies the drivers of unmet failure and value demand across multiple channels and customer segments.
Intelligent customer service
**Re:infer** gives brands a cognitive capability to monitor, understand and respond to customer requests at internet scale.
Customer Insights
- Discover the actions and behaviours leading to customer loyalty Identify the drivers of failure and value demand
- Bring visibility to the drivers of churn
- Uncover actionable insights that drive personalisation and promotions
- Analyse customer data to provide more accurate recommendations and customer-centric decisions
- Personalise interactions with a searchable and contextual history of all previous interactions
- Close the loop between product, marketing and sales
Cognitive Contact Centre
- Analyse customer calls to detect root cause drivers of customer pain
- Compare the performance of customer service agents
- Uncover hidden relationships between product, experience and loyalty
Intelligent Sales
- Analyse customer data to provide more accurate recommendations and customer-centric decisions
- Personalise interactions with a searchable and contextual history of all previous interactions
Employee Insights
- Make all communications data structured and actionable in the wider IT real-estate (RPA, CRM, CMS, SCV, ERP)
- Deliver straight-through processing of requests
- Cognitive + RPA: amplify existing robotics installations with a cognitive front-end that can trigger processes