Generative Business Intelligence for Supply Chain Teams

Decide faster under uncertainty with AI‑ready metrics, scenario planning, and anomaly alerts built for modern supply chains

Supply Chain

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Cut stockouts and cost while lifting fill rate with an agent that investigates root cause and proposes plans you can trust

Trusted Recovery

What your AI agent can answer

What is today stockout rate by SKU and location, what is the revenue impact, and which nodes account for most of the gap
Why are the top items short with evidence across forecast error, lead time spikes, late ASN, and quality holds
Where do we have low days of supply and which safety stock or lead time change removes the highest risk with the least added working capital
Do allowed replacement SKUs have enough units in the right distribution centers to cover exposure and what are the coverage ratios
Which suppliers and lanes are missing on time in full and how that affects fill rate and cost to serve
Simulate recovery at different risk tolerances and show effects on service level, working capital, and freight, then track results to goal

4 Steps

How It Works

Set governed goals, diagnose with Lean, compare fastest vs most efficient plans, and track recovery with validated calculations.

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Set goals in semantics
Encode stockout and service targets into the governed semantic layer for consistent decisions.
Diagnose with Lean methods
Apply Pareto and Five Whys in the agent workflow to find root causes and prioritize fixes.
Generate two plans
Produce fastest‑recovery and most‑efficient options with clear tradeoffs explained.
Validate and monitor
Verify calculations and track recovery to targets with continuous oversight.

frequently asked questions

Have a question?

Answers That Matter

Where are we most at risk of stockouts this week

Ask by SKU and retailer and Beye ranks risk, shows coverage at nearby distribution centers, and proposes recovery options. You can change assumptions and rerun the scenario in minutes.

Can we swap purchase orders or reallocate stock and see the impact

Yes. Run a scenario and compare expected in stock and lost sales against your target. Save the plan and share it with the team.

How do you keep results trustworthy for supply chain

Beye uses a decision gate with a mixture of models and validates with deterministic SQL and checks. The semantic layer encodes your definitions so numbers align to the way you report.

Quick Connect

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