Item setup, vendor onboarding, order-exception handling and chargeback response, automated across commerce and supply systems.
Industry overview
Assortment moves faster than the back office. Item data, vendor documents and order exceptions each carry manual queues, and every day of queue is a day of lost selling or accrued penalty.
Retail operations is reconciliation at volume: what the vendor sent versus what was ordered, what the system says versus what the shelf holds, what the marketplace requires versus what the item file contains. Each mismatch spawns manual work with a deadline attached.
The penalty economy makes it costly. Chargebacks, deductions and compliance fines are levied automatically by trading partners and disputed manually by people.
Common challenges
If three or more are true, the rest of this page is about your operation.
How we help
AI, cloud, cybersecurity, hardware and programme delivery, one integrated bench, each practice applied to how retail & consumer goods actually operates.
Agents for the merchandising back office: product-data onboarding into the PIM with attribute completeness enforced, EDI exception handling with trading partners, chargeback dispute assembly, and inventory-discrepancy investigation across ERP, WMS and the commerce platform.
Commerce infrastructure sized for the peak, not the average: platform integrations that keep stock and pricing consistent across channels, order flows that survive the holiday spike, and a data layer where merchandising, planning and finance read the same numbers.
Controls where the cardholder data lives: segmentation that keeps payment flows inside their boundary, e-commerce skimming defences on the storefront, and vendor access to store systems governed and logged.
Store technology as one managed estate: POS, handhelds, label printers and back-office units deployed per store template, monitored centrally, and refreshed in waves the operations calendar can absorb.
Rollouts across hundreds of doors: pilot stores first, playbooks from what they teach, waves scheduled around trading peaks, with store-level readiness tracked rather than assumed.
Where we start
Deliberately mundane. The impressive-sounding workflow is rarely the one worth doing first.
If you run one of these, this is the conversation.
Our solutions
What happens today, what changes, and what to watch for as each workflow is automated.
The operating picture
POs, product data and trading-partner setup precede every sale.
Agent layer
Onboards product data into the PIM complete, and reconciles PO confirmations against what was ordered.
ASNs, receipts and store allocations flow through EDI and the WMS.
Agent layer
Works the EDI exception queue, mismatched ASNs, failed acknowledgements, before they become stockouts.
Channels drift apart on price, stock and content.
Agent layer
Audits listings across channels against the PIM and flags every divergence with its source.
Deductions, chargebacks and vendor claims erode the margin.
Agent layer
Assembles dispute packages with the shipping and receiving evidence attached, filed inside the deadline.
Platforms and systems
The systems of record this sector runs on, and why each one matters to a deployment.
The constraint
Trading-partner rules are external law: they change without notice and are enforced automatically.
Retail automation lives inside other companies’ rulebooks, routing guides, marketplace policies, EDI specifications. The design assumes the rules will change and makes rule changes cheap, because a brittle mapping is a monthly outage.
Seasonality is the second constraint: the system must be boring in November. Deployment calendars respect the freeze.
Compliance
The regimes your organisation operates under, and what each one constrains in a deployment. We design to these from the first architecture diagram, they describe your obligations rather than our credentials, and VSI's own position publishes only once it is substantiated.
Success stories
Engagements in this sector, with the figures drawn from project records under a named attestation, and the method behind every number on its own page.
The first month
What actually happens, week by week. Note where the design conversations sit, before the build, not after it.
Baseline the item-setup queue and one deduction category from your own data.
Automate dispute-evidence assembly for that category and enrichment for one department.
Read recovery-rate and setup-time movement and decide the next department.
Next step
For anyone whose sector is not listed, or who works across several.
No preparation required and nothing to install. Bring the workflow that costs you the most hours; leave with a view of what we would automate first, what it depends on, and what we would not touch.
Book the free assessmentQuestions
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