Case study

Diagnose the bottleneck, connect the systems

An example of the decision hierarchy in practice: eliminate, simplify, use, configure, integrate, automate, and build only as a last resort.

95% faster
~10 hrs
Before
~30 min
After

3M SKUs ยท Shopify + Laravel + MongoDB

Problem

A large retail business ran a Shopify catalogue of roughly three million SKUs across multiple stores and warehouses. Inventory changes came from a separate Microsoft-based system, and pushing those updates into Shopify took close to ten hours, so the online store was almost always a little behind the warehouse.

Challenges

Shopify's APIs allow only a limited set of operations, each capped by strict rate limits, which made it easy for a batch this large to stall, time out, or silently drop records partway through.

Solution

We built a custom Laravel portal with an optimized database layer and tuned Shopify queries, pulling every quantity change from the third-party system and pushing it through automatically, with full visibility into what ran, what failed, and why.

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More From the Field

Other Problems We've Worked On

Shorter summaries while we finish gathering the client-approved detail and numbers for full write-ups.

One Connector for Temu, Shopify & BigCommerce

Selling through more channels usually creates more manual work: different rules, categories, and error formats on every storefront.

What we did: We built a multi-merchant connector that normalizes product, inventory, and order data before it reaches each channel, with tenant isolation and safe retries built in from day one.

One product-preparation flow instead of per-channel busywork, and a platform that can add a new sales channel without a rewrite.

An ERP Built Around a Specialist Manufacturer

Generic ERP demos look complete until a business with real technical complexity, like prescriptions, materials, and coatings, tries to run its actual work through them.

What we did: We modeled the business from its operating process upward instead of borrowing screens from an unrelated industry: records, workflows, roles, and reports built around how the company actually runs.

One system that reflects how the business really works, replacing the parts still living in spreadsheets.

Keeping a Proven Storefront, Adding What It Was Missing

An e-commerce business had a solid BigCommerce storefront, but needed workflows the platform wasn't built to handle: product enrichment, custom logic, and internal admin tools.

What we did: Rather than replace the storefront, we kept BigCommerce for what it does well and built a Laravel layer alongside it for the business-specific work.

The benefit of a proven commerce engine, with custom logic the business actually controls, at a fraction of the cost of a full platform replacement.

Modernizing an Accounting Platform Without Stopping the Business

A legacy accounting platform carried years of business rules that users depended on every day. A one-time rewrite would have asked a new system to reproduce all of that before anyone could test it.

What we did: We moved in controlled slices: one workflow at a time, comparing old and new behavior, releasing to a limited group before retiring any old path.

A modernized platform with no single high-risk cutover, and proof that we treat existing systems as something to understand, not throw away.

Measurement

How We Measure Success

Success measures are agreed before implementation begins, then tracked against a baseline. We don't assert them after the fact.

OutcomeExample measures
Revenue growthLead response time, quotation turnaround, conversion rate, repeat orders, channel sales
Cost reductionHours saved, errors avoided, license cost removed, rework reduced, support cost reduced
SpeedOrder cycle time, approval time, reporting time, dispatch time, issue-resolution time
CapacityTransactions per employee, orders per shift, customers served per team, reporting frequency
Inventory / working capitalStock accuracy, slow-moving stock, stock-outs, reconciliation time, inventory days
ControlAudit exceptions, access violations, undocumented processes, data completeness, backup success
AdoptionActive users, process compliance, training completion, feature utilization
ReliabilityAvailability, failed integrations, recovery time, support incidents

We're gathering client approval, logs, and full numbers to publish more named case studies. If you'd like references or more detail on the work above, ask us directly on a discovery call. For a sense of how we'd approach a problem we haven't solved for you yet, see our example engagements.