AI-Powered Solutions

Purchase forecasting, invoice control, inventory optimization, and real-time reporting are no longer capabilities reserved only for large enterprises. Today, mid-sized businesses can also use these technologies, including conversational access through channels such as WhatsApp. The key question is no longer whether AI can be used in business operations, but whether it can work in sync with your ERP system.

For artificial intelligence to create measurable business value, it must rely on a trusted data foundation. Disconnected, inconsistent, or non-standardized data can lead to inaccurate forecasts, weak automation flows, and unreliable recommendations. At Hitsoft, we combine more than 25 years of ERP experience with industry knowledge gained from over 150 customers to develop AI-powered solutions aligned with SAP infrastructure, Turkish regulatory requirements, and real business processes. A strong answer to the question “What can AI bring to my business?” starts with a solid SAP foundation.

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AI-Powered ERP Solutions

HitAsistan — SAP Data Access Through WhatsApp

SAP Joule — SAP’s Embedded AI Assistant

Demand Forecasting

Intelligent Automation

Decision Support Systems

Backed by Hitsoft’s R&D Center

HitAsistan — SAP Data Access Through WhatsApp

HitAsistan is an AI-powered operations assistant that enables users to access selected SAP data through WhatsApp-based interaction. Without logging into the ERP interface or waiting for a prepared report, users can ask operational questions in natural language, such as “Which product sold the most this month?” or “Do I have any pending invoices?” With this approach, ERP data becomes more accessible for daily decision-making. Instead of remaining limited to finance and IT teams, relevant SAP insights can support sales, operations, purchasing, and management teams in their routine workflows.

SAP Joule — SAP’s Embedded AI Assistant

SAP Joule is SAP’s generative AI assistant embedded within SAP Cloud ERP and related SAP applications. It helps users interact with business data and processes through natural language, making ERP usage more intuitive within supported scenarios. Through SAP Joule, users can access contextual assistance for tasks such as order creation, approval processes, report retrieval, anomaly detection, financial closing guidance, purchasing workflows, and distribution-related recommendations. These capabilities help reduce the need to switch between multiple screens while keeping users closer to the business context inside the ERP environment.

Demand Forecasting

Demand forecasting combines historical sales data, seasonality, and market signals to support more predictable inventory planning. In industries where supply uncertainty is high, such as food, chemicals, and automotive supply, AI-supported forecasting can help purchasing teams make decisions based on data rather than assumptions. By analyzing demand patterns, businesses can better plan raw material procurement, reduce excess inventory risk, and improve supply continuity.

Intelligent Automation

Intelligent automation can support invoice matching, e-Transformation document checks, approval workflows, and inventory alerts. Instead of relying solely on manual controls, businesses can use automated checks to detect inconsistencies earlier in the process. For e-Invoice and e-Archive documents submitted to GIB, system-based controls can help review document accuracy before submission. This contributes to faster process execution and supports more controlled e-Transformation operations.

Decision Support Systems

Sales performance, cash flow, production efficiency, and supplier reliability can be brought together in real-time dashboards. When integrated with the Hitekstre financial reporting tool, these dashboards help reduce manual reporting effort and minimize interpretation errors caused by fragmented data. Decision support systems help managers evaluate operational performance from a single view and act faster with more reliable information.

Backed by Hitsoft’s R&D Center

Hitsoft operates through its certified R&D Center. The solutions developed are not positioned as one-size-fits-all packages; they are configured according to each customer’s industry, process structure, data architecture, and operational priorities. Quality control, credit risk analysis, and document management add-ons are examples of practical outputs developed through this R&D infrastructure.

SAP and Microsoft Integration

The integration between SAP Joule and Microsoft 365 Copilot creates new possibilities for connecting ERP data with everyday productivity tools. In supported scenarios, users can benefit from AI assistance across SAP and Microsoft environments without breaking their workflow.

This integration approach becomes clearer through common business scenarios.

Accessing SAP Data from Microsoft Teams and Outlook

During a Microsoft Teams meeting, a sales manager may need to check a customer balance, order status, or open transaction without leaving the conversation flow. In supported integration scenarios, SAP-related information can be surfaced within the Microsoft workspace based on user authorization and business context.

Similarly, when replying to a supplier email in Outlook, relevant SAP data such as stock status, order information, or purchasing details can support the response process. This helps reduce context switching and enables teams to work with ERP insights in the tools they already use.

SAP RISE on Microsoft Azure

Running SAP Cloud ERP infrastructure on Microsoft Azure can support scalability, security, and cloud transformation objectives. For organizations with data residency and regulatory requirements, Azure’s regional and compliance options can be evaluated according to KVKK, project scope, and customer-specific needs.

Power Platform Integration

Microsoft Power BI, Power Automate, and Power Apps can be integrated with SAP data to support reporting, workflow automation, and custom application scenarios. This can help businesses build dashboards, approval flows, and mobile operational tools with less dependence on lengthy custom development cycles.

Frequently Asked Questions About AI-Powered Solutions

How does the quality of our existing datasets affect the success of AI models?

AI models perform according to the quality, consistency, and completeness of the data they use. Incomplete or inconsistent data can reduce forecast accuracy and cause automation errors. For this reason, Hitsoft prioritizes data review, cleansing, and standardization steps before AI projects move into implementation. SAP’s structured data architecture supports this process. However, the quality of historical data, master data, transaction records, and process definitions should be assessed at the beginning of each project.

What are your data privacy and information security standards?

Hitsoft structures AI and ERP projects in line with KVKK requirements, customer-specific security expectations, and sectoral obligations. Data usage in AI models is planned according to the scope of the project, authorization rules, and applicable privacy principles. For SAP and Microsoft-based infrastructures, cloud architecture, access rights, logging, integration layers, and data residency requirements are evaluated during the project design phase. In e-Transformation integrations, processes are configured to support alignment with GIB standards and local business requirements.

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