Digital Shijil exists for one reason: most online stores aren’t under-marketed, they’re under-engineered. The work below the surface — workflows, automations, the operations layer — is where the next year of growth either happens or quietly stalls. We build that layer for D2C operators who want a system, not another retainer.

Digital Shijil is run by an operator with a computer-science engineering background and hands-on experience across multiple private e-commerce and digital properties — across Shopify and WooCommerce, across direct-to-consumer brands and digital assets. Those properties stay private on purpose: they’re working assets, not case studies. But the systems we sell are the systems we run.
The benefit, for operators we work with, is that none of this is theoretical. The frameworks aren’t recycled blog content. The automations aren’t a sandbox demo. The decision-triggers in our SOPs are decisions we’ve made, in our own stores, on a real Tuesday, with real money on the line.
Many engagements are sold on the assumption that scope is discovered together over months. That can work — but it puts the cost of vagueness on the founder. We start with clear scope, whether it’s a one-time build or an ongoing partnership, so the work moves cleanly from day one.
Three offers, fixed pricing, written boundaries. If a problem genuinely doesn’t fit, we’ll tell you — and almost always recommend someone better suited rather than stretch the engagement to fit.
Async-first. Most engagements need at most one or two scheduled calls. Communication runs through a single shared Notion doc and a thin Slack or email thread. Status meetings are mostly replaced by the artifact itself — the audit, the workflow inventory, the monthly review.
One person owns the engagement end-to-end. There’s no account manager, no project manager, no hand-off chain. The person who scoped the work is the person who builds it and the person who hands it over.
If you need any of the above, plenty of teams do them well. We design the operations layer underneath them.
Quietly technical. Operator-led. Bias toward clarity.
Shopify, Shopify Plus, WooCommerce. Working knowledge of the unsexy backend, not just the public theme.
n8n, Make, Zapier when appropriate, native API glue when those aren’t. We pick the right runtime, not the trendy one.
OpenAI and Anthropic for extraction, classification, drafting, and triage. Versioned prompts. No black boxes.
Klaviyo, Mailchimp, native Shopify email. We build flows wired to real data, not best-guess timing.
Help-desk integrations with AI-assisted triage so only the edge cases hit a human.
A single internal surface — usually Notion- or Airtable-backed — so operators see the system, not stare at five tabs.