AI Buyer & Sales Assistant for Data-Driven Decision Support

Helping teams make smarter procurement and sales decisions with real-time, AI-powered insights — using natural language.

Overview

Our client needed a faster, more intuitive way to explore vendor and customer data stored in AWS. We delivered a Buyer/Sales Assistant that uses natural language inputs to surface real-time insights from large, structured datasets — helping users make informed decisions without relying on analysts or SQL.

The Challenge

Procurement and sales teams often lacked direct access to key information stored deep in cloud-hosted data stores. Even when access was granted, retrieving insights required technical knowledge or slow data team requests. As a result, decision-making was delayed and inconsistent.

The Solution

SphereIQ’s Buyer/Sales Assistant connects directly to AWS-hosted datasets (e.g., S3, Redshift) and allows users to:

  • Ask business questions in natural language (e.g., “Which vendors had delayed shipments last quarter?”)
  • Explore customer or vendor data without SQL
  • Receive AI-generated insights, visualizations, and suggested next steps
  • Automate recurring reports or queries across departments

The Assistant leverages LLMs trained for structured data interpretation and decision logic — giving users a direct line to answers that matter.

The Results

Reduced time-to-insight from days to seconds

Enabled faster, data-backed procurement and sales decisions

Improved collaboration between business and technical teams

Established a secure, self-service AI layer on top of critical AWS data

Let’s Build Your First (or Next) AI Win