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Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales & marketing activities, announced today that it has created numerous new roles and positions during the past few months, which include the appointment of Lukasz Olech as Machine Learning Scientist, Aditya Khaire as Business & Data Analyst, Larisa Stamova as Marketing Manager, Murad Mekhtiev as Manager of Business & Data Analysis, and Kalyan Avvaru as Chief Technology Officer. The company has also appointed Hugh Lam and Luiza Michalewicz into senior Customer Experience roles.

Artificial intelligence (AI) is THE buzzword of 2017, and is quickly reaching the dizzying heights of ‘cloud computing’ and ‘big data’. And like the game-changing technologies that have preceded it, AI’s implications on marketing are extensive. All the biggest martech vendors are rapidly adding AI into their arsenal: From IBM’s Watson cognitive computing platform, to Salesforce’s Einstein, Oracle’s Adaptive Intelligence, Adobe’s Sensei, and Marketo’s Adaptive Engagement platform. Equally, there are plenty of new companies entering the space – Conversica, Ampsy, Sentient and Complexica, to name a few.

People have been rather pessimistic in the past about automation and artificial intelligence (AI) creating a ‘sales career apocalypse,’ but they've recently been converted to believe in a far brighter future for those willing to combine old school value with new school technology. Humans who embrace working with bots and leverage advanced technology as they engage prospects and customers will unlock the secret to driving sales pipeline and then progressing through to accelerated revenue. Here are three real world examples of how AI is transforming sales results.

The hype around artificial intelligence (AI) is at an all-time high, with the AI technology market forecasted to reach $37 billion by 2025. Indeed, there has also been a great deal of discussion around the opportunities and threats to business management and workforce in general. When it comes to AI, there’s a reason for the hype – the potential payoff of embracing it is enormous. In this article, you will gain insight into how companies are already using AI, and find out what can be accomplished with AI in business management.

Now let’s look at how AI can help your business today. Better analysis of insights can improve your business’ return on investment by 10 to 20%, and drive average profit growth of 14%, according to McKinsey & Company. However, in an age of information overload, the human brain is incapable of processing the vast amounts of data to translate that information into knowledge – to make better decisions in business processes optimisation.

Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales & marketing activities, announced today that Matthew Michalewicz will be a panelist at the AMI National Awards for Marketing Excellence. For 35 years, the AMI Awards for Marketing Excellence have celebrated individuals and organisations who have achieved extraordinary success from innovative and effective marketing practices. The Awards have evolved over the years in response to new developments in marketing theory and practice to reflect the growing appreciation of the critical role of marketing as the vital source of value creation for a business.

For more information, please visit: http://hub.ami.org.au/event/NSWA17/ for Sydney, NSW and www.ivvy.com.au/event/SAA17 for Adelaide, South Australia

Today, many customers are better informed than the salespeople they engage with, largely due to the substantial amount of research they do beforehand. This well-documented phenomenon – of information asymmetry swinging from the salesperson to the customer in recent times – is manifesting itself across countless industries, and is being compounded by another trend called ‘mass personalisation’. Better informed and educated, customers are increasingly dictating what they want and demanding a more personalised service when they buy.

They also want to deal with salespeople who educate them and provide contextually relevant information, and to not waste time on probing questions that highlight ignorance. This amplifies the pressure on sales and marketing departments, who are finding themselves on the wrong end of these trends and ill-equipped to cope. Unable to reverse the tide, many salespeople are finding their once-lucrative jobs disappearing and being replaced by self-service models, and corporate margins are under siege by well-informed consumers who shop the market for the best deals

Where will it all lead? Enter artificial intelligence.

Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales & marketing activities, announced today that created numerous new roles and positions during the past few months, which include the appointment of Dr. Ali Shemshadi, Dr. Riky Tan, and Xiang Li as Machine Learning Scientists, and Iulian Coretchi as General Manager of Testing & Development. Jon Lee has also joined the company as Software Engineering Lead, and Murad Mekhtiev as Business Analyst.

Complexica's CEO, Matthew Michalewicz, joins Marty Switzer on Sky News to dispel some common myths about the rise of Artificial Intelligence, and explain why jobs are not in danger, yet.

Businesses that sell a large range of products to a large range of customers are burdened by an analytical challenge that drags down their yield on sales resources. The challenge, simply put, is to help each sales rep answer the following two questions:

• “Who should I call on this week?” (i.e. where are the opportunities or potential problems?)
• “What personalised messages/insights should I deliver in each call?”

At present, most sales reps answer these questions by accessing various systems and databases, where they shift through endless customer data, survey information, and transactional data, looking for opportunities or alarming trends (such as down trends). They manually identify the customers that should be visited, add those customers to their call plan, optimise the plan for the best logistical sequence, and then Google the customer before finally making the visit. What’s interesting about this process is that it has nothing to do with sales. This is an analytical task. It prepares the sales rep for the sales visit, and although it's important to be prepared, the task itself is not a sales task.