A multinational industrial leader headquartered in India, with a diversified portfolio spanning automotive, agribusiness, and technology sectors
Frontline manufacturing and industrial technology which has international supply chains
Designing, producing and supplying automotive systems, agricultural technology, and industrial solutions in overseas markets
Change the traditional way of operating business through the introduction of predictive AI and automation to make business decisions based on data, improve customer interactions, and streamline the complicated supply chain dynamics
The manual process of handling high volumes of queries led to the delay in responding to them and poor service delivery
Large volumes of data within the departments were not being exploited because of poor analytical tools and reporting bottlenecks
Without predictive capabilities, inventory management and resource allocation remained guesswork rather than strategic planning
The employees used precious hours to bring together different data sources instead of taking action on the insights, which reduced the speed of operations
The global expansion ambitions of the company could not be achieved using the legacy systems without automated intelligence and optimization of processes
Unified AI modules deployed across sales, supply chain, and customer service operations
AI algorithms that are trained using past data to predict demand and determine operating patterns
Chatbots with intelligent routing of complex requests and intelligent routing of routine requests
Demand pattern analysis which makes it possible to plan inventory and production
Monitoring of supply chain and predictive warnings of possible disruption and inventory optimization in real time
Unified data flow between the current enterprise systems and AI analytics platforms
Sales, Finance, Customer and Supply Chain Insights are used to drive forecasting, service automation, and decision support in the core operations
Models analyzing historical and real-time data to predict trends, identify patterns, and surface actionable risks
This is a smooth integration with existing systems that facilitate two-way data exchange, centralized master data, and multi-functional visibility
Automated data aggregation and AI-driven tools reduced time spent on manual reporting and analysis
Predictive analytics led to accurate forecasting that enhanced better inventory management and resource allocation
Predictive insights in supply chain meant that potential disruption was detected at an early stage, reducing the time of downtime in operations
Chatbots powered by AI automated the common questions and made the customer service faster
Forecasting based on data allowed greater control of inventory and manufacturing planning
Automation decreased human work, and centralized insights, making it possible to make decisions quicker and more accurately
Precise forecasting matched inventory and production schedules and minimized shortage and overstock
Predictive supply chain information identified interference early to be mitigated proactively
AI chatbots have answered simple questions immediately, leaving agents to handle more complicated ones
Constant improvement of models enhanced the planning of the sales, inventory, and production
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
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You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
