Sales

Use AI and automation to accelerate customer engagements, streamline order management, and realise revenue faster.
Sales overview home page with Joule enabled by SAP Cloud ERP

Automating sales processes and data-driven insights

With SAP Cloud ERP, you can drive your organisation’s success, grow revenue with satisfied customers, and boost profitability with new revenue streams and client acquisition.

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  • Support revenue streams, including selling goods, services, and subscriptions

  • Cover the complete customer order lifecycle from start to finish, including quotation, order confirmation, delivery, and invoicing

  • Improve sales team performance with built-in system intelligence and cross-team collaboration

  • Increase retention and win new customers

SAP Business Suite webinar series

Join us on November 18 to see how SAP Business Data Cloud works with SAP Business Suite to deliver a unified, business-ready data foundation to drive enterprise-wide transformation.

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Customer order management

Management of customer quotations, contracts, and orders with little to no manual effort

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AI-empowered order generation and fulfilment

Automatically extract and correct orders with AI-based recommendations and confirm orders based on real-time inventory, credit data, and compliance standards.

Cross-functional team collaboration

Facilitate smooth communication across functional teams with built-in Microsoft Teams integration.

Streamlined customer experience

Connect e-commerce and customer relationship management (CRM) systems for a smooth and integrated customer experience.

Billing and invoicing

Timely revenue recognition with an automated and accurate billing process

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Automated billing process

Create, manage, and output billing documents with process automation, real-time insights, and intelligent analytics.

Preliminary billing documents

Align with customers on the invoice details with preliminary billing documents before the final invoice.

Integrated financial accounting

Manage revenue recognition compliance and profitability transparency through smooth integration with financial accounting.

Customer returns

AI-assisted handling and monitoring of the customer returns process

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Intelligent initiation of customer returns

Use AI-based field input recommendations to create and process return orders quickly.

Logistical follow-ups

Trigger quality checks and choose proper follow-ups, such as return to inventory, repair, and forwarding to supplier.

Customer compensation

Refund the customer with an automated credit memo or with a replacement product.

Price management

Margin protection through a consistent price strategy, complex price models, and real-time pricing updates

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Calculation of net and gross values

Configure your system to automatically determine prices for quotations, contracts, orders, and invoices throughout the sale process.

Pricing updates based on business needs

Perform mass change of price list or adjust price data for individual sales documents.

Consistent price execution

Set up a price change approval procedure using a preconfigured workflow, helping ensure price strategy consistency.

Sales rebate management

Flexible sales rebate management that incentivises customers

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Defined sales rebate agreements

Create rebate contracts for individual customers or customer groups based on agreed conditions.

Accrual postings and updates

Create accruals to make future payment obligations transparent in financial accounting, according to compliance requirements.

Settlement and sales rebate monitoring

Generate settlement documents for customer contracts to create the correct receivable and payable amounts for customers.

Sales analytics

Actionable insights into sales processes, customer behaviours, and overall sales effectiveness

Sales performance KPIs

Use dashboards to collect, analyse, and monitor overall performance with the capability to drill down to all dimensions.    

Insight to action

Make data-driven decisions to quickly resolve critical business performance bottlenecks.  

Sales planning and performance prediction

Use historical data and embedded advanced algorithms to predict future sales trends.

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