Tech Solutions / 2026
Built an evidence-first investigation system that linked operational, financial, shipping, and catalog records into one searchable casebook for regulated sales audits.
Client
Regulated Retailer
Technologies
Python 3.11
FastBound
WooCommerce
QuickBooks
ShipStation
Local Search Index
Casebook Export
Source systems
Workflow style
Output
Project Type
01 – Challenge
Investigations required people to jump across the operational system, e-commerce records, accounting data, and shipping evidence by hand. That made outbound-transfer review slow, fragile, and difficult to defend when details needed to be explained later.
02 – Approach
Treated the audit as an evidence problem instead of a reporting problem. Built the workflow around local snapshots, searchable indices, entity linking, and a casebook model so the system could preserve how each conclusion was supported.
03 – Solution
Delivered a Python investigation platform that ingests snapshots from multiple systems, builds unified search layers, preserves linked evidence, traces entities and serials, and exports a structured casebook for review and follow-up.
04 – Outcomes
Reduced the need to reconstruct cross-system history manually for each investigation
Made evidence traceable and repeatable instead of dependent on who remembered where to look
Created a defensible workflow for high-friction audit and compliance review work
Improved handoff quality between research, review, and decision-making
05 – The Story
The important thing here was not just pulling data out of several systems. It was creating a workflow where the evidence stayed connected to the reasoning.
In regulated environments, a conclusion is not enough. You need to be able to show why a record belongs to the case, how it connects to the rest of the system, and what still needs review.
That drove the design toward snapshots, indices, linked entities, and a real casebook export instead of a loose pile of CSVs and notes.
The result is a much stronger foundation for audits that would otherwise consume a huge amount of manual attention.
What mattered
The point was not to install software and walk away. The point was to create an operating layer the business could trust, improve, and own after handoff.
That meant documenting the system, making the workflow legible, and removing the extra work that shows up when teams are forced to manage operations across disconnected tools.
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Continue through the work to see another example of strategy, systems, and execution translated into a better operating result.
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Currently accepting new engagements
© 2026 OCDATA – Michael Bennett
Currently accepting new engagements