SplintAI's five-layer intelligence engine normalizes data across ERPs, HRIS, and MES systems to find margin gaps no single system can see — then tells you exactly how to close them.
Live Platform • Purpose-Built for Multi-Site Food Manufacturing • Five-Layer Intelligence
Connectors purpose-built for food manufacturing ERPs, HRIS, and MES systems. One semantic model normalizes all your sites into a single source of truth.
Purpose-built connectors for food manufacturing
View All IntegrationsMove from scattered data to margin intelligence with a five-layer engine that understands your business context and delivers actionable recommendations ranked by dollar impact.
Find and close cost gaps across all your sites. DL/LB analysis, yield leakage, labor pressure — ranked by dollar impact.
Learn moreWeekly automated intelligence that surfaces the most impactful margin opportunities. No dashboards to interpret — the system writes the story.
Learn moreSemantic model that normalizes data across multiple ERPs into one source of truth for all your sites.
Learn moreTrack continuous improvement initiatives from identification through execution with trajectory analysis and dollar impact measurement.
Learn moreWhile competitors dig through spreadsheets, you get automated margin intelligence that surfaces the biggest opportunities across all your sites.
In Gaps Identified
DL/LB, yield, and labor gaps ranked by annualized dollar impact across your sites
AI Executive Brief
Automated intelligence that surfaces the most impactful margin opportunities without building dashboards
Site Coverage
Cross-site comparison normalizing dual-ERP data into a single margin intelligence view
The five-layer intelligence engine doesn't just show you data — it tells you where margin is leaking and exactly how to recover it, ranked by dollar impact.
'Gross margin surged this week — but one site is masking a significant DL/LB gap on a high-volume SKU. Recommend CI initiative.'
'Temp labor at one site running significantly above cross-site average. Cross-system analysis reveals six-figure annualized savings opportunity.'
'Yield on a key SKU down vs best across sites. Analysis identifies process calibration as root cause, not raw material.'
See the financial impact SplintAI can have on your operation in less than 30 seconds
Industry Benchmarks: Multi-site food manufacturers typically run 18-25% labor cost and 82-92% yield. Even small improvements across sites translate to significant annualized recovery.
Estimates based on industry benchmarks. Actual results vary by operation.
Hear from food manufacturers using SplintAI to find and close margin gaps
"Finally, visibility into where our operation is leaving money on the table. The DL/LB gap analysis alone justified the investment."
Beta Partner
VP Operations
Fresh-Cut Produce
"The weekly AI brief replaced three spreadsheets and two hours of manual analysis. Our CI team now focuses on execution, not data gathering."
Beta Partner
Director of CI
Food Manufacturing
"We discovered six-figure margin leakage at a single site that no single system could see. The cross-site comparison is a game changer."
Beta Partner
CFO
Multi-Site Processor
Beta partners across food manufacturing
SplintAI's five-layer intelligence engine finds margin gaps no single system can see. Purpose-built for multi-site food manufacturers running dual ERPs.