Case Studies

The initial issue was that the catalog could no longer be safely evolved by hand. There was no clarity on which properties were actually used, where structure was bloated and where smart-filter issues were misleading both SEO and content work.

I compared one-off cleanup work, a set of local debug scripts and a full module. One-off cleanup was temporary, scripts were too opaque for the team, so the product approach made more sense: build a module that turns diagnosis and restructuring into a governed workflow.

When I joined "Building the catalog structure module for 1C-Bitrix portcore.catalogstructure", the pattern was familiar: local fixes existed, but there was no shared model connecting business goals to technical execution. That gap kept incidents recurring and manual overhead growing.

I decomposed the issue into controllable layers: input signals, decision rules, handoff points and post-release quality control. This immediately clarified where performance was being lost and why previous fixes did not hold.

In the final implementation, the module visualizes the section tree, analyzes properties per branch and helps prepare merge/update operations without blind manual edits. That immediately made structural work both clearer and safer.

Among the most important product features were smart-filter diagnostics, analysis of real property usage, section-property-link tooling and workflows that encourage “inspect first, change later” instead of the other way around.

Instead of patching symptoms, I implemented a phased model: acceptance criteria first, minimum viable core second, and scale expansion only after stability was proven. This created measurable progress at each stage.

Operational governance was part of the implementation itself: ownership boundaries, deviation handling and explicit escalation logic. That made the outcome repeatable rather than person-dependent.

The implementation moved from diagnostics toward action: first tree views and branch statistics, then property-analysis logic, then merge/update scenarios and path tracing. A separate stage was spent on edge-case debugging and testing against messy real-world catalog structures.

Architecturally, the module was designed to be useful not only for developers, but also for SEO and content teams. That is why it reads less like a technical utility and more like a practical governance tool for large catalogs.

Architecturally, the key principle was "observability before complexity". It allowed the team to see real impact of each change and keep control while scaling.

The stack (Bitrix iblock and CIBlockSection; property-usage analysis; smart-filter diagnostics; merge/update queues; debugging tools) was treated as an enabler, not a goal: every decision was evaluated by impact on delivery speed, stability and support cost.

The final result is a module that can be used internally and offered as a ready-made solution for Bitrix catalogs. The case creates a meaningful path into the product detail, where portcore.catalogstructure shows how those structure and filter problems are solved in practice.

Business impact was not limited to isolated metric gains. The team received a practical operating model with clearer priorities, faster decisions and lower regression risk.

I documented outcomes in a before/after format tied to practical KPIs, so leadership could directly map engineering work to commercial value.

• Section tree, property search and actual property-usage analysis across catalog branches.
• Smart-filter and section-property-link diagnostics with detection of irrelevant or empty properties.
• Section merge preparation and execution with path tracking across affected subtrees.

• Team response speed to deviations and incidents.
• Manual overhead share before vs after rollout.
• Stability of critical user flow under load.
• Release predictability and regression frequency.
• Input quality: less noise, higher useful outcome.

• UI for working with the section tree and catalog restructuring operations.
• Analysis, deactivation and merge mechanics for properties/sections with queued execution and trace data.
• Debug tools for smart filter and property-link investigation inside problematic branches.
• Warranty support on the license plus help adapting workflows to the real project structure.

• Target architecture map with implementation priorities.
• Phased rollout plan with acceptance criteria.
• Operational runbook and escalation model.
• Post-release quality checklists.
• 30/60-day optimization backlog.