QYMATIX

OCTOBER 25, 2022

In short, the algorithms used to make valuable sales predictions are not magic. They use mathematics and probability applied to ERP and CRM sales data. This blog post shows five ways you can use machine learning for your sales organization to increase your sales potential – in our experience – by 25%.

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Zendesk

FEBRUARY 23, 2022

While sometimes time-consuming, this sales analytics tool is one of the best ways to pinpoint improvement opportunities in your company. Primary activities include: Inbound logistics: availability of raw materials, warehousing, and distribution. Outbound logistics: strong presence of distribution centers. Porter’s VCA.

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Zendesk

FEBRUARY 24, 2022

Intelligently utilized sales software. If you expect your sales representatives to handle this avalanche of logistics while also closing deals, you’re setting yourself up for some seriously burned-out teams and major issues with efficiency. Before a lead can be passed on to the sales team for closing, they need to be nurtured.

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Showpad

OCTOBER 21, 2019

Far from creating an entirely robotic sales force, though, AI and ML can empower your Sales and Marketing staff to achieve more. Beyond the efficiency boost that these tools provide, perhaps the biggest benefit of sales automation is a more knowledgeable sales force. What is Sales automation?

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QYMATIX

OCTOBER 26, 2021

They push forward the data-driven automation of business processes, make sales operations and logistics more efficient, and transfer created benefits across different economic sectors. Use Case: Predictive Analytics reduced customer churn while increasing sales team satisfaction and engagement. What data do you need?

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QYMATIX

MAY 18, 2021

Sales & Operations Planning has two primaries, close-related elements: sales planning (related to sales and marketing) and operations planning (related to order-fulfilment, stock and logistics). Once an S&OP becomes analytical and transparency kicks in, an organisation can start calling itself “data-driven”.

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QYMATIX

NOVEMBER 30, 2021

Think of another example: logistics. Fully implementing AI in CRM for pricing is not entirely different. Robots still need to be programmed — the addition of artificial intelligence changes this equation. With AI, robots can see and decide for themselves. A decade ago, most packages and goods were almost completely manually handled.

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