Each example shows a problem to investigate and a possible technical direction. Actual scope, tools and outcomes depend on discovery.
Potential challenge: Disconnected sales, service and finance data can make forecasting and handoffs difficult.
Possible approach: Review the Salesforce data model, handoff rules, integrations and reporting definitions.
What to measure: Manual follow-up time, duplicate records and reporting consistency before and after a scoped change.
Potential challenge: Manual request triage can delay responses and hide important exceptions.
Possible approach: Test classification and routing on one workflow, with human review and an exception path.
What to measure: Triage time, incorrect routing and the effort required to review AI suggestions.
Potential challenge: Catalog updates, orders and customer records may disagree across systems.
Possible approach: Map data ownership and evaluate Shopify, CRM and fulfillment handoffs.
What to measure: Catalog update time, order exceptions and customer record accuracy.
Potential challenge: POS transactions, online orders and customer records may be out of sync.
Possible approach: Map identifiers, sync timing, refunds and exceptions across POS, ecommerce, CRM and inventory.
What to measure: Inventory mismatches, failed syncs and manual reconciliation effort.
If your team needs a cleaner architecture, better system alignment, or a roadmap for ecommerce and operational automation, KS can scope the path forward quickly.
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