01
500+ SKUs with no automation
Every product update — price change, inventory adjustment, new variant — was manually entered into Shopify. A single brand price update could take half a day. Human error rate was causing live pricing mistakes.
Overview
Motodrift sells serious riding gear — helmets, jackets, gloves, boots, body armour. Their catalogue is wide and technically complex: multiple brands, each with size variants, model-specific compatibility notes, and frequent inventory changes. As the business grew, the operations didn't scale with it. Two team members were spending most of their week doing manual data entry between their ERP, a spreadsheet, and Shopify.
The problem
What was broken and why it mattered.
02
Google Shopping running on stale data
Product feed to Google was only updating once a week via a manual export. Out-of-stock items were still showing in Shopping ads. Inventory errors were costing real money in wasted click spend.
03
No size guidance — high return rate
Riding gear sizing is complex and brand-specific. Without any guided sizing tool, customers were guessing. Return rate on jackets and helmets was 18% — almost entirely size-related.
04
Fulfillment delays losing repeat customers
Order processing was manual — staff would check the order, check stock in the warehouse system, then raise a pick. Average time from order to dispatch was 3 days. For gear ordered before a ride, this was brand-damaging.
The work
The full scope of what we built.
⚙️
Bulk upload automation pipeline
Built a custom automation that reads directly from their ERP export format, validates against Shopify's product schema, and pushes updates automatically. What took 2 hours of manual work now runs in 8 minutes, unattended.
🔄
Near-real-time inventory sync
Deployed a webhook-based inventory sync between their warehouse management system and Shopify. When a product is picked in the warehouse, Shopify inventory updates within minutes. No more overselling.
🛍
Google Shopping + Performance Max rebuild
Rebuilt the Google product feed with real-time stock status, correct category taxonomy, and enriched attributes (brand, size, material). Launched structured Shopping and PMax campaigns with proper negative keyword architecture.
📏
Custom size recommendation quiz
Built a Shopify-native size finder that walks customers through brand-specific sizing questions. Recommends the correct size based on measurements and brand charts. Displayed on all applicable product pages.
🚀
Automated order-to-dispatch workflow
Integrated Shopify order notifications with their warehouse system. New orders trigger an automatic pick request. Fulfillment time went from 3 days to same-day for orders placed before 2pm.
📈
Cross-sell architecture
Built a product relationship system: gloves recommended with jackets, helmet recommended with visor cleaners. The size quiz also opens cross-sell opportunities. This drove the AOV improvement.
The sequence
How we got there.
The sequence of work, week by week.
1
Week 1–2
Operations audit
Mapped every manual workflow. Documented ERP structure, Shopify data model, and Google feed gaps.
2
Week 3–4
Automation pipeline build
Bulk upload automation and inventory sync built, tested, and validated against staging store.
3
Week 5–6
Google Shopping rebuild
New product feed structure. Shopping and PMax campaigns launched with corrected data and campaign architecture.
4
Week 7–8
Size quiz + cross-sell
Size recommendation tool built and deployed on priority product pages. Cross-sell logic implemented.
Questions
About this case study.
Is this result typical, or is it an outlier?
We only publish case studies where we can show real, verifiable metrics tied to Shopify data — but every brand's starting point is different. Motodrift's results reflect what was possible given their specific gaps; your results will depend on where your store, tracking, and funnel currently stand.
How long did an engagement like this take?
Timelines vary by scope, but most engagements follow the same pattern: a diagnostic phase in week one, then delivery in two-week sprints. See the sequence above for how this specific engagement was paced.
Can you get similar results for my brand?
We won't promise a specific number without seeing your data first. What we can promise: a diagnostic that tells you honestly whether the same class of fix applies to your store.
What if my brand is in a different industry?
The underlying levers — tracking accuracy, checkout friction, funnel structure — are largely industry-agnostic. See our industry pages for category-specific context.
Go deeper
The services and reading behind this result.
Services used
Shopify EngineeringOperations AutomationGoogle ShoppingPerformance MaxCustom App Development
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