Variants and bundles drift.
One product may appear under several names, pack sizes, bundles, or channels. A small mapping error becomes an expensive fulfillment conversation.
Once in the sale you should not have taken, and again in the scramble to explain, refund, reorder, or reconcile it. DBM maps the inventory truth before adding another automation.
Shopify, locations, sales channels, apps, and spreadsheets are reviewed as a system—not as isolated buttons.
A store can have the right app and still lack an agreed source of truth, clear location rules, or an owner for the exceptions.
One product may appear under several names, pack sizes, bundles, or channels. A small mapping error becomes an expensive fulfillment conversation.
Available inventory, transfers, safety stock, fulfillment priority, and pickup logic need to agree before the automation can be trusted.
When a feed fails, a product goes out of stock, or two channels disagree, someone needs a visible next move—not a silent retry.
DBM starts with a system map: products, variants, locations, channels, apps, fulfillment, and the decisions that still belong to a person. Then we scope the smallest reliable improvement.
A good inventory workflow does not hide exceptions. It makes them visible early enough to be handled.
Shopify supports inventory across products and locations. The business still has to decide what each number means.
Document Shopify, warehouses, spreadsheets, POS, marketplaces, and the systems that can change quantity.
Define location priority, safety stock, bundle behavior, and what should happen when data disagrees.
Configure or implement the approved workflow with logging, clear limits, and a safe failure path.
Test representative products and exceptions, then leave a process the team can actually run.
Best when you need to understand the current inventory path, identify the highest-risk mismatch, and decide what deserves a build.
First output: a map and a recommended next move—not an unexplained app stack.
Pricing depends on systems, permissions, data quality, exception volume, and whether the work is configuration or custom implementation.
Boundary: live inventory writes and production changes require explicit owner approval.
Orders, locations, marketplaces, or fulfillment have outgrown the spreadsheet-and-fingers-crossed operating model.
Your product data, ownership, or fulfillment rules are still undefined. The right first project may be process clarity, not automation.
No. Apps can be part of the answer, but the work begins with the operating rule and ends with a tested handoff.
No responsible builder can promise that without knowing the systems and behavior in play. DBM can define the risk, test the agreed paths, and document the boundary.
Not without explicit configuration and owner approval. Local simulation and draft/mock-first work remain available while the scope is being proven.
Store URL, sales channels, locations, representative SKUs, current tools, and the exact inventory failure that keeps recurring.
Bring the mismatch, the systems involved, and what a safe outcome would look like. DBM will turn the tangle into a scoped map.