Proven Results

Client Case Studies

We don't sell software; we deliver structural ROI. Explore how we have engineered scalable systems for rapid-growth organizations.

E-Commerce & 3PL Integration

Scaling from 500 to 5,000 Daily Orders Without Adding Headcount

A rapidly growing consumer goods brand was suffering from "success paralysis," struggling to process a massive influx of holiday orders due to a fragmented tech stack.

70%
Reduction in Time-to-Fulfill
0
New Operations Hires
99.9%
Inventory Accuracy

The Challenge

The client's Shopify store was disconnected from their primary 3PL warehouse management system. A team of four Operations Specialists spent their entire 8-hour shift downloading CSVs from Shopify, reformatting them, and uploading them into the 3PL portal. When Q4 volume hit, error rates spiked, causing inventory oversells and massive customer support backlogs.

The Custom Architecture Solution

Growth & Data Consulting executed a comprehensive systems overhaul utilizing an advanced Make.com orchestration layer combined with custom Python endpoints.

  • ✓ Webhook Ingestion: Built a real-time listener that captured Shopify orders instantly, verified inventory thresholds, and automatically pushed the formatted payload to the 3PL's legacy API.
  • ✓ AI Customer Support Parsing: Implemented a generative AI model that read inbound "Where is my order?" emails, queried the tracking API, and replied with personalized updates, deflecting 45% of tier-1 support tickets.
  • ✓ Automated Reconciliations: A nightly chronological script synchronized inventory levels globally between all warehouses and storefronts, completely eliminating oversells.

"The infrastructure Growth & Data built allowed us to triple our Black Friday volume seamlessly. We would have needed to hire and train 15 seasonal operations staff to handle the volume manually. Instead, the system just scaled up instantly."

— VP of Operations, Global CPG Brand

Supply Chain & Logistics

Eliminating 4,000 Hours of Annual Data Entry with Intelligent Document Processing

A mid-market freight forwarding company was losing significant margin to extreme dispatch inefficiency, caused entirely by unstructured paper documents.

4,000+
Payroll Hours Saved
12x
Faster Order Processing
100%
Cloud Centralization

The Challenge

Every day, over 200 unstructured PDF Bills of Lading and Proof of Delivery documents were emailed to a shared inbox. Five dispatchers spent half their day manually reading these PDFs, identifying specific freight weights and destinations, and typing them laboriously into an outdated Transportation Management System (TMS).

The Custom Architecture Solution

We implemented an end-to-end Intelligent Document Processing (IDP) pipeline powered by a fine-tuned artificial intelligence model.

  • ✓ Optical Character Extraction: All incoming emails to the dispatch address were automatically intercepted. The AI extracted attachments and parsed the messy, non-standardized PDFs to identify core variables (Weight, Pallet Count, Destination, Carrier ID).
  • ✓ Automated Structuring & Injection: The extracted text was converted into a structured JSON payload and injected directly into the TMS database via an authenticated API bridge.
  • ✓ Dashboard Visibility: A centralized bi-directional dashboard was created to allow leadership to monitor total freight volume extracted in real-time, providing immediate visual analytics.