DigitalShijil
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Work

The shape of the work.

We build operations layers for private stores, and most of that work sits under NDA. So instead of logos and vanity numbers, here are the real engagements — the problem, the system we built, and what structurally changed — with identifying details removed.

On honesty: client names and exact revenue figures are withheld under NDA. Nothing below is invented — these are real engagement patterns with the identifying details stripped out. Where we describe an outcome, it's the mechanism the system changed, not a dressed-up statistic.
Case note 01
WooCommerceFulfillmentOps setup
Fulfillment that ran on manual exports

The situation

A home & lifestyle store on WooCommerce, run lean. Every day started with exporting orders to a spreadsheet, formatting them for the 3PL, and re-keying tracking numbers back in by hand — a multi-hour ritual before real work began.

What we built

  • Order → 3PL handoff wired through the store API and a routing layer
  • Automatic tracking write-back to orders and customers
  • Low-stock alerts on the fast-movers, before they sold out

What changed

The daily export ritual disappeared. A task that ate hours every week became a monitored automation the founder checks, not runs — and out-of-stock surprises on the best sellers stopped.

Case note 02
ShopifyLifecycleRetention
Email flows that were “set once” at launch

The situation

A wellness brand on Shopify with healthy new-customer acquisition — but the lifecycle side was a single welcome email built during the launch sprint and never touched again. Abandoned checkouts and past customers were effectively ignored.

What we built

  • Abandoned-checkout and browse-abandon flows that actually fire
  • A post-purchase sequence tied to the product lifecycle
  • A win-back path for lapsed customers, on real triggers

What changed

Revenue that had been quietly leaking — from carts and from customers already paid for — started getting recovered by flows that run on their own. The compounding layer the store was missing now exists.

Case note 03
Shopify + WooAI opsSupport
Support that scaled linearly with orders

The situation

An operator running parallel storefronts where every support ticket was read, categorized, and answered by hand. As orders grew, the inbox grew with them — and “hire another person” was the only lever in sight.

What we built

  • AI-assisted triage that classifies and routes tickets on arrival
  • Templated, one-click answers for the top recurring cases
  • Self-serve deflection for “where's my order?” and returns

What changed

The link between order volume and support hours got cut. Common questions resolve without a human, and the operator's attention moved from clearing an inbox to the cases that actually need judgment.

Case note 04
WooCommerceDataReporting
Numbers that arrived a week late

The situation

A store making decisions off a monthly spreadsheet assembled by hand — pulling exports from four tools, reconciling them, and answering last month's question a week after it mattered. Margin and repeat-rate were guesses.

What we built

  • A pipeline that pulls from the store, ads, and email into one place
  • A live dashboard for margin, repeat rate, and the day-to-day signals
  • Threshold alerts so numbers come to the operator, not the reverse

What changed

Reporting stopped being a monthly chore and started being a surface the operator actually looks at. Decisions now happen on current numbers, not last month's reconstruction.

The through-line

Different stores, the same move.

Every one of these started as manual effort holding a store together, and ended as a system that runs underneath it. That's the whole job: take the work that lives in someone's head and hands, and move it into infrastructure.

Diagnose honestly

The audit finds where the real leverage is — not where it's most billable. Sometimes the answer is “less than you think.”

Build into your stack

Real workflows in the tools you already run — Shopify, WooCommerce, Klaviyo, n8n, Make — not a sandbox demo.

Leave it runnable

Documented, monitored, and handoff-ready. The point is a system you own, not a dependency on us.

Your store next

Curious what this looks like for your store?

Start with the scorecard to see where you stand, or go straight to the audit for the verified, in-depth version.

Start with an audit — $297 → Grade my store first