Logistics & Global Supply Chain

Deploying Predictive AI to Automate Customer Success and Eradicate Churn

Replacing Legacy ERP Invoicing Bottlenecks with an Autonomous Middleware Pipeline

Engineered a predictive AI middleware pipeline that analyzes real-time product telemetry to autonomously trigger personalized onboarding interventions, drastically reducing enterprise user churn.

Simplify Digital Co Thumbnail
Simplify Digital Co Thumbnail
40%

Reduction in Churn Risk

40%

Reduction in Churn Risk

< 2 mins

Autonomous Intervention Latency

< 2 mins

Autonomous Intervention Latency

100%

Automated Health Scoring

100%

Automated Health Scoring

The Operational Friction

Simplify Digital Co. was processing upwards of 4,000 multi-currency, cross-border customs invoices every single week. Their legacy Enterprise Resource Planning (ERP) platform lacked native intelligent automation, requiring five full-time operational data clerks to manually extract lines of nested line-item data, verify raw totals against corresponding digital purchase orders, and flag currency variances. This manual entry bottleneck delayed logistics routing by up to 48 hours per batch. Crucially, human transcription typos frequently triggered compliance discrepancies at customs checkpoints, resulting in steep operational fines and supply-chain logjams that choked their weekly throughput.

The Architecture Blueprint

We designed and engineered a custom, event-driven middleware orchestration layer that connects directly to Simplify Digital Co.’s internal email servers and secure file transfer protocols via private webhooks. When a raw invoice payload lands, it triggers a multi-modal data pipeline that strips out metadata and flattens nested tabular document arrays.

The ingestion engine streams the data blocks through an isolated instance of Claued 3.5 Sonnex to convert unstructured text into explicit, schema-validated JSON arrays. To ensure total operational stability, the pipeline processes data through a strict deterministic verification layer. This layer dynamically queries the company's central SQL ledger, cross-checks unit prices against historical contracts, runs tax calculations, and logs the execution metrics. If the values align within a strict 0.01% error margin, the system automatically executes a state mutation in the client's live accounting database, completing the transaction ledger instantly without a human ever touching a keyboard.

The Tech Stack

Openly AI

Client Testimonial

"Before this deployment, our CS team was constantly putting out fires and reacting to churn after the fact. Stackgrid didn't just build a basic integration; they built an intelligent infrastructure that actually predicts user friction in real-time. It completely automated our health scoring and allowed our team to focus purely on high-level strategy instead of manual data digging. Our retention metrics transformed entirely."

Aman Patel

Director of Customer Success

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