top of page

Sales

AI Use Cases

Predict optimal next actions for sales reps

Sales Management

Sales reps actions and leads will be analysed according to sales process and potential customer response to suggest the next best action

Forecast sales

Sales Management

Forecast sales based on modeling of news customer conversions, existing customer revenues, etc.

Automate prioritisation of potential sales leads

Sales Management

Deliver emails to a target customers and automatically analyse the responses to determine "hot" leads. Let 24/7 functioning, intelligent, self improving bots handle making initial contacts to leads. High...

Generate actionable analytics from sales calls

Sales Management

Advanced analytics on call data to uncover insights to increase sales effectiveness

Personalise sales pitch, content and proposition based on customer analytics

Sales Management

Personalisation of sales content and analysis of its effectiveness to allow continuous improvement.

Optimise sales script to potential customer profile

Sales Management

Optimise what to say at different points in the conversation and which phrases / responses are most effective to convert prospects.

Optimise lead assignment to sales reps / channels

Sales Management

Optimise sales resource assignments, product mix, commissions modelling and accounts

Monitor and analyse interactions between customers and sales to provide insights to support sales performance

Sales Management

Monitor and analyse interactions between customers and sales to provide insights to support sales performance. Likely to be most useful in highly structured, high volume calling situations.

Create lead generation contact lists through data scraping

Sales Management

Create contact lists for outbound communication through automated web scraping (e.g. of social network traffic, databases or websites) or filtering based on response and sourcing analysis. Note that this is increasingly encountering regulatory challenge (eg GDPR in the EU).

Identify high value B2B leads through analysing internal and external data

Sales Management

Identify high-value B2B leads by analysing internal and external data. Internal data will include CRM and sales channel data. External data might include press releases, 3rd party information sources and social media.

Nurture leads through automated email and bot communications

Sales Management

Automatically follow up on unresponsive leads using targeted campaigns that will be modified depending on the lead’s behaviour or CRM data about the individual lead in question.

Evaluate customer credit risk by capturing consumer behaviour during online application process

Sales Operations

Evaluate customer credit risk using application and other relevant data to improve accuracy and reduce unconscious bias in real-time underwriting decisions. Signals may vary - for example signs of hesitation whilst form filling may indicate a higher propensity for fraud.

Automate syncing of sales process data such as calendars and contact reports

Sales Operations

Automatically sync calendar, address book, emails, phone calls and messages to the salesforce so as to optimise time focus.

Predict sales and optimise sales funnel actions

Sales Operations

Use AI to enable predictive sales. Score leads and prioritise sales rep actions or other action most likely to push prospective leads further through the sales funnel (from prospect ID to completion). Sales reps actions and leads will be analysed according to sales process and potential customer response to suggest the next best action.

bottom of page