SystemsD
E-commerce

E-commerce

Storefronts that deliver.

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  • uwumarket
  • enginehire
  • Search Atlas
  • BlueClerk
  • Brain Bite

Our AI Products & Agents services

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  • Custom Operations Software

    Internal tools • Admin dashboards • Client portals • Booking systems • Reporting tools

    Builds software around your workflows so your team can work faster with less manual effort.

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  • Website & AI Automation

    AI agents • Lead follow-up • Appointment reminders • Review requests • Smart workflows • Website automation

    We automate repetitive tasks across your customer journey so your team can focus on work that actually needs human attention.

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  • Systems Integration

    API integrations • CRM connections • Accounting integrations • Scheduling systems • Data sync

    We connect disconnected platforms so information moves automatically between your systems instead of being copied manually.

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  • Website Development

    Custom websites • Responsive development • React & Next.js • CMS integration • Performance • SEO-ready structure

    Build a high-converting website that turns visitors into leads.

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  • Cloud & DevOps

    Cloud infrastructure • CI/CD pipelines • Docker & containerization • Monitoring • Backups • Scaling

    We make your infrastructure more reliable, easier to deploy, and ready to scale.

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  • Branding

    UI/UX • Social media design • Content creation • Brand messaging

    We make sure your business looks and communicates consistently across your website, content, and customer touchpoints.

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  • Lead Generation Systems

    Landing pages • Lead capture • CRM automation • Lead routing • Personalized outreach • Follow-up sequences

    A lead pipeline that captures, organizes, and follows up with prospects automatically, so fewer opportunities slip through the cracks.

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Top challenges we solve

Stock that lies

Selling what the warehouse no longer holds costs a refund and a customer. Inventory syncs both ways, so the storefront shows what is actually there.

Manual order handling

Copying orders between the shop, the courier and the ledger is where the mistakes live. The handoffs run themselves and flag only the exceptions.

Abandoned baskets

Most recovery email arrives hours late and says nothing useful. Triggered follow-up carries the basket, the stock position and the reason to come back.

Reporting after the fact

Margins read at month end are history. Live figures on cost, shipping and returns show which lines actually earn.

A path from problem to product.

See the full process →
  1. 1Discover
  2. 2Design
  3. 3Development
  4. 4Deployment
  5. 5Digitize
  6. 6Documentation
  7. 7Delivery
  8. 8Debugging
  9. 9Distribution

Case studies

  • Analytics dashboard open on a laptop screen

    AI Products

    Turning Weekly SEO Audits Into a Nightly, Prioritized Fix List

    A content team paid for six SEO tools but still could not tell which pages to fix first. We replaced them with one system that audits the site nightly, ranks pages by their own search data and drafts the fixes for editors to approve.

    The Problem

    Rankings were slipping, but each audit took a week to assemble by hand and was out of date by the time anyone read it. Nothing said which fixes mattered most.

    What We Built

    A crawler that scores every page against its own Search Console data, drafts the rewrite with AI, and queues the work in priority order. Editors approve before anything is published.

    The Result

    Audits run every night instead of taking a week, and editors start from a ranked list with drafts ready, so their time goes into publishing rather than research.

    Next.jsPythonOpenAIBigQuerySearch Console API

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
  • Clinician checking a phone between appointments

    MedSpa

    Automating Lead Follow-Up and No-Show Recovery for a MedSpa Group

    A MedSpa group was losing bookings to slow lead replies and last-minute cancellations. We added an automation layer to their booking system that answers new leads, refills cancelled slots and sends timed reminders.

    The Problem

    New leads and last-minute cancellations waited until the front desk had a free moment. By then, leads had often booked elsewhere and cancelled slots stayed empty.

    What We Built

    An automation layer on top of Boulevard: instant replies to new leads, waitlist backfill when a client cancels, and reminders timed to cut no-shows. The front desk sees all of it in one dashboard.

    The Result

    Leads get an answer straight away, cancelled slots are offered to the waitlist automatically, and the front desk no longer has to chase every gap in the calendar by hand.

    ReactNode.jsPostgreSQLTwilioBoulevard API

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
  • Front-desk host checking a guest in on a tablet booking screen

    Hospitality

    Replacing a Manual Weekly Close With One Restaurant Operations Ledger

    A restaurant group ran orders, bookings, stock and payroll in four tools that never agreed. We connected them to one ledger, with a floor view for staff and a weekly summary for the owner.

    The Problem

    Orders, bookings, stock and payroll each lived in a different tool. Nothing reconciled, so the owner rebuilt the week by hand every Monday.

    What We Built

    An operations layer that reads from the existing POS and tools and writes to one ledger. Staff see covers, stock and staffing on a tablet; the owner sees the numbers on a phone.

    The Result

    One source of truth for the week, a close that takes minutes rather than a morning, and no change to the POS staff already use.

    ReactNode.jsPostgreSQLStripeToast API

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
  • Site supervisor reviewing plans on a build site

    Automation

    Replacing Phone Dispatch With Automated Scheduling for 200 Field Crews

    Two hundred field crews were dispatched by phone, so one cancellation meant hours of replanning. We built a scheduler that assigns jobs by skill, travel time and window, and replans automatically when a job moves.

    The Problem

    Every assignment went out as a phone call. An early cancellation cost hours of replanning, and nobody could see the knock-on effects across the day.

    What We Built

    A scheduler that matches jobs to crews by certification, travel time and job window, reshuffles the day when a job moves, and texts every affected crew.

    The Result

    Crews get their day on their phone, certifications are checked automatically, and a cancellation is replanned by the system instead of by phone.

    React NativeNode.jsPostgreSQLMapboxTwilio

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
  • Classroom of students during a lesson

    SaaS

    Replacing Manual Enrolment Checks With a Guided Intake Flow

    Every student enrolment meant chasing documents, checking them by hand and typing the same details into three systems. We built a guided intake that checks documents as they arrive, sends only unclear cases to staff and creates the account automatically.

    The Problem

    Staff chased missing documents by email, verified each one by hand and re-keyed the result into three systems. Students waited days to hear back.

    What We Built

    A guided intake that validates documents as they are uploaded, routes anything unclear to a person with the evidence attached, and creates the account once the last check clears.

    The Result

    Straightforward enrolments finish while the student is still on the page, details are entered once instead of three times, and staff only handle the cases that need judgement.

    Next.jsNode.jsPostgreSQLDocuSignStripe

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
  • Marketing dashboard showing campaign performance

    MarTech

    Tracking Every Lead From First Click to Closed Deal

    A marketing team could see form fills but not which campaigns produced paying customers. We built first-party tracking that carries each click id into the CRM and joins it to closed deals, so spend is judged on revenue.

    The Problem

    Campaign reports stopped at the form. Nobody could say which ads produced customers, blocked cookies hid part of the traffic, and budget moved on guesswork.

    What We Built

    A consent-gated, first-party tracker that stamps every click, saves the id on the HubSpot record, and reconciles it against closed deals in one BigQuery view.

    The Result

    Spend is judged on closed revenue rather than form fills, and the weekly report builds itself instead of being stitched together from exports.

    Next.jsNode.jsPostgreSQLBigQueryHubSpot API

    -38%

    No-Shows

    2.4x

    Lead Reply Rate

    <60s

    First Response

    Read case study
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Engineered solutions translated into tangible results

Over the years we've created a unique process that delivers exceptional results with blazing-fast efficiency.

99.9%

Uptime SLA maintained across all deployed platforms

2x

Faster time-to-market — cut down from months to weeks

97%

Client satisfaction rate across all engagements

40+

Products shipped across multiple industries and verticals

Testimonials

  • SystemsD didn't just build our app — they understood the business behind it. They shipped in weeks what other shops quoted in quarters.
    — Placeholder Client · Founder, Company Name
  • Our no-show rate dropped by more than a third in the first month. The system just runs — nobody has to remember to chase anyone.
    — Operations Lead · Director of Operations, Wellness Group
  • They replaced six tools with one platform and nothing broke on the way over. That is the part I still find hard to believe.
    — Technical Lead · CTO, SEO Platform
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Let's Discuss Your Needs

Tell Us About Your Project. We'll Take It From There