For a global manufacturer, procurement teams had access to a chatbot for spend-related questions, but its value was limited to surface-level KPI reporting. While users could retrieve basic metrics, they could not access the deeper spend-performance insights needed for supplier negotiations, forecasting, and strategic sourcing decisions. As a result, critical analysis still required manual investigation, reducing the effectiveness of the tool.
Infocepts partnered with the organization to create a governed conversational procurement intelligence platform that delivers accurate, real-time answers grounded in enterprise data. By combining live Snowflake connectivity, intelligent query routing, and advanced entity recognition, the solution enables procurement teams to explore supplier and spend data using natural language while maintaining confidence in the accuracy of every response.
The manufacturer’s existing spend chatbot could answer basic KPI questions but struggled with the more complex supplier- and spend-related queries that drive procurement decisions. Users were unable to access the underlying spend-performance metrics needed for negotiations and forecasting, forcing them to conduct additional manual analysis to obtain reliable insights.
Trust in the system was further impacted by hallucinated responses when unsupported or complex questions were asked. Because procurement teams could not consistently rely on the answers provided, they routinely verified outputs and recreated analyses themselves, negating the intended efficiency benefits and limiting adoption across the organization.
Infocepts addressed these challenges by implementing a governed conversational analytics solution with real-time data access, intelligent query routing, and named-entity recognition-enabling accurate supplier and spend analysis, improving user trust, and creating a scalable foundation for AI-driven procurement intelligence.
The transformation delivered tangible, measurable results:
Higher
Faster
Greater
Scalable
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