Engine, a leading omni-analytics and data science firm, announced the launch of Auto Insights Engine, an “always-on AI analyst” that continuously monitors data to detect shifts in trends, uncover root causes, and surface proactive, actionable insights for CPG and Retail.
Traditional reporting requires teams to manually search for insights, often leading to delayed reactions to critical changes. Auto Insights Engine solves this challenge by acting as a 24/7 analyst, an additional resource that helps teams quickly identify what changed, why it happened and the recommended course of action.
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How Auto Insights Engine Works
- Proactive Monitoring: Provides round-the-clock analysis, ensuring teams proactively respond to emerging trends and opportunities before they impact performance.
- Root Cause Identification: Uses a sophisticated AI-powered decision tree to uncover potential drivers of sales fluctuations, including pricing and inventory changes, assortment shifts and external market factors.
- Automated Intel Briefing: Delivers an action list through the Engine Data Platform and via email, alerting teams to critical changes, root causes, and potential business impacts.
- Engine AI Assistant: With a Gen AI-powered assistant, teams can explore their results through interactive conversations, uncovering deeper insights and context behind the data shifts detected by the Auto Insights Engine.
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Use Case: How Auto Insights Engine Quantified Millions in Missed Sales Due to Pricing and Shelf Space Shifts
Detect Changes in Trends
A leading snack manufacturer had spent weeks trying to determine what was causing a sudden decrease in sales the month prior. They engaged Engine to help, who turned on Auto Insights Engine and within hours of being briefed, the key drivers behind the sudden performance changes were uncovered. The AI-powered tool scanned millions of data points, and it alerted the team to two critical shifts:
- A 15% decline in sales across 130,000 points of distribution.
- An 11% decline in sales across an additional 100,000 PODs during the same period.
Analyze the Root Cause
With these trends identified, the Auto Insights Engine immediately investigated the potential root causes by analyzing fluctuations in drivers such as out-of-stocks, promotions, shelf capacity, and price changes. It uncovered two key findings:
- Price: The 15% decline in sales correlated with a 21% price increase
- Shelf Space: The 11% drop in sales across the other PODs was tied to a 45% reduction in shelf capacity.
Recommendations
The Auto Insights Engine not only detected these operational shifts, but it also quantified their direct business impact with precision. Armed with these insights, the manufacturer can take targeted steps to recover revenue and protect valuable shelf space. With Auto Insights Engine, the manufacturer can keep Auto Insights Engine running to continuously scan millions of data points to identify and turn unsurfaced problems into actionable insights with speed.
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Source: prnewswire
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