Inventory sync
Stock levels reconciled across every channel on a schedule, so counts stop drifting apart.
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By the chore it takes off your desk
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Care provider · Pilot at one site since July 2026One leave request path for a 1,000+ staff care provider, built inside their own Google WorkspaceStaff covered1,000+PilotOne site, since July 2026Read the case study Sell more without adding headcount
Online retail runs on a hundred small, repeatable tasks: inventory sync, order routing, product copy, support. We automate the busywork so your team focuses on growth, not data entry.
Stock levels reconciled across every channel on a schedule, so counts stop drifting apart.
On-brand descriptions and SEO copy generated at scale.
Routing, fulfilment, and refunds handled by rule; exceptions flagged for a human.
AI that answers and routes common tickets whenever they arrive, and escalates the rest.
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Every hour spent re-keying orders and answering the same questions is an hour not spent on growth - and overselling from lagging stock costs you refunds, chargebacks, and repeat customers.
Common bottlenecks here
Order and refund data lives in Shopify, but finance works in a spreadsheet and reconciles by hand each day.
New or updated order in Shopify → Order written/updated in a Sheet → Refunds and chargebacks flagged by rule → Daily exceptions summarised
Stock is sold across Shopify and other channels, but inventory counts drift apart and items oversell before anyone catches it.
Scheduled sync runs across connected channels → Stock counts compared and reconciled → Discrepancies corrected and logged
New products sit unpublished, or publish with a one-line description, because writing copy for every SKU is a backlog nobody gets to.
New product added in Shopify → Description drafted from the product's attributes and images → Draft saved to the product for review → Published once approved
Stripe payouts land as lump sums and someone has to manually match them back to individual Shopify orders to close the books.
Stripe payout received → Payout broken down into its component orders → Each order matched against Shopify's order record → Mismatches flagged for review
Checking how the day went means logging into Shopify and pulling numbers by hand, every morning, for a summary that's the same shape each time.
Scheduled trigger fires each morning → Prior day's orders, revenue, and refunds summarised → Summary emailed to the distribution list
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