Salesforce in Singapore, wired into your Odoo.

Not a published one. Our documented Singapore engagements are Odoo ERP, Magento and Adobe Commerce and Power BI work, and they are all on our Singapore case studies page. Our Salesforce record, including the Tent And Table multi-cloud programme, is global. We would rather you knew that before a first call than discovered it in a reference check.

That is fixed when the org is provisioned and it is not simple to move afterwards, so we settle it with you before licences are bought. We also decide which data classes never enter Salesforce at all and stay in your own systems behind an integration layer. You get a written data-flow map naming every store and every cross-border hop, which is usually what an architecture or risk reviewer asks for first.

It changes the object model, not just the paperwork. Consent is captured as a field on the record with its source and timestamp, lawful basis is visible to the user working the lead, retention rules expire marketing lists on a schedule rather than on request, and permission sets state exactly which offshore team members can open a Singapore customer record. Building that in at design time costs days; retrofitting it costs a release cycle.

Yes, and it is the common Singapore shape rather than an edge case. On the Tent And Table engagement we built a bi-directional Salesforce to Odoo ERP integration for vendor and purchase-order data, integrated the quoting system with Magento for checkout, and brought telephony inside Salesforce. Odoo is the platform behind most of our documented Singapore work, so both sides of that integration are familiar ground.

Yes. We take on existing orgs, starting with a health check on the sharing model, technical debt in Apex and flows, unused licences and the release process. Cover is named and scheduled across your working day, and the handover pack is written from day one so an in-house Singapore administrator can take the org back whenever you want it.

History and data integrity come across, the cutover is rehearsed against a full data set before it is real, and it runs outside your trading hours. Weekend cutovers are normal for retail and trading businesses. We have run this in the other direction too, migrating a client off SuiteCRM and Zendesk into Sales Cloud and Service Cloud, so we know which records break first.

It depends entirely on how much of your own pipeline and case history the org already holds, because that is what the scoring learns from. On a thin org it predicts noise. We switch on case management, forecasting and lead scoring where the data supports them and leave the rest off, which is how it was scoped on Tent And Table.