CRM migration
Field-level mapping, validation, and rollback between Sales Mantra and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Sales Mantra
Source
Odoo CRM
Destination
Compatibility
7 of 12
objects map 1:1 between Sales Mantra and Odoo CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Sales Mantra to Odoo CRM is a structural migration for Indian SMBs outgrowing a small-footprint CRM. Sales Mantra organizes records around Leads, Accounts, and Deals with a contact classification feature that segments audiences by custom criteria; it offers no documented public API, so CSV exports are the primary extraction path. Odoo CRM uses a crm.lead model that handles both unqualified leads and qualified opportunities in a single object, with res.partner as the contact/account entity. We extract Sales Mantra data in scoped CSV batches per object type, normalize contact classification columns into Odoo tags or custom fields, design Odoo pipeline stages with probability mappings that match the source stage logic, and load via Odoo's XML-RPC or CSV import interface. Documents stored as internal Sales Mantra attachments may export as URLs only; we flag these for manual retrieval before migration cutoff. Odoo Automations, server actions, and approval workflows do not migrate; we deliver a written inventory for the customer's Odoo admin to rebuild.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Sales Mantra object lands in Odoo CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Sales Mantra
Lead
Odoo CRM
crm.lead
1:1Sales Mantra Lead records map to Odoo crm.lead with type=lead. We extract contact name, email, phone, source attribution, status fields, and owner assignment from the CSV. The Odoo crm.lead model handles the lead entity natively; no split is required as there is no separate Contact object in Sales Mantra to reconcile against. Owner assignment resolves by email match against the Odoo res.users table.
Sales Mantra
Account
Odoo CRM
res.partner
1:1Sales Mantra Account records map to Odoo res.partner with customer_rank set to distinguish companies (customer_rank > 0) from individual contacts. We preserve the account name, address fields, industry classification, and any custom fields exported. res.partner is created before crm.lead import to satisfy the partner_id lookup on lead records.
Sales Mantra
Deal
Odoo CRM
crm.lead (type=opportunity)
1:1Sales Mantra Deal records map to Odoo crm.lead with type=opportunity. Deal name becomes the opportunity name; deal value maps to Odoo's Expected Revenue field; expected close date maps to date_deadline; pipeline stage from Sales Mantra maps to the Odoo stage_id with probability values configured per stage. The associated Sales Mantra Account ID resolves to an Odoo res.partner record at migration time.
Sales Mantra
Deal Stage
Odoo CRM
crm.stage
lossyEach Sales Mantra pipeline stage becomes an Odoo crm.stage record within the corresponding Odoo team pipeline. We map Sales Mantra stage names to Odoo stage names and configure probability percentages that match the source stage close rates. The Odoo stage ID is referenced on each crm.lead record during opportunity import.
Sales Mantra
Pipeline
Odoo CRM
crm.team
lossyIf Sales Mantra uses multiple deal pipelines, each maps to a separate Odoo crm.team with its own pipeline Kanban view. Odoo crm.team corresponds to a Sales team; pipeline configuration is per-team. We verify the pipeline count during the data audit and configure the appropriate number of crm.team records in the destination Odoo instance before deal import.
Sales Mantra
Activity (calls, emails, tasks, notes)
Odoo CRM
mail.activity + mail.message
1:1Sales Mantra Activity records (calls, emails, tasks, notes) linked to Leads, Accounts, or Deals migrate to Odoo mail.activity entries and mail.message records. Activity type maps to Odoo's activity_type_id; description and timestamp preserve; owner resolves by email match to Odoo res.users. Not all Sales Mantra activity types may be present in the standard export; we verify completeness during the data audit phase.
Sales Mantra
Contact Classification (custom field)
Odoo CRM
crm.tag
lossySales Mantra contact classification values stored as custom fields or delimited CSV columns migrate to Odoo crm.tag records. We normalize the classification data during the transform phase: multi-value delimited columns are split into individual tag records and linked via crm.tag.rel on the crm.lead. Tags are visible on the Odoo lead form and filterable in the pipeline Kanban view. The customer chooses during scoping whether to use tags or custom selection fields for the classification data.
Sales Mantra
Owner/User
Odoo CRM
res.users
1:1Sales Mantra Owner records referenced on Deals and Activities map to Odoo res.users. We extract the owner roster from the CSV (typically a small list given Sales Mantra's 8-employee vendor size) and match by email address to Odoo users. Owners without a matching Odoo user are held in a reconciliation queue for the customer's admin to provision before record import resumes.
Sales Mantra
Document attachment
Odoo CRM
ir.attachment
1:1Sales Mantra document attachments linked to Accounts or Deals migrate as Odoo ir.attachment records. We attempt to extract document URLs from the Sales Mantra export and resolve them as attachment links on the corresponding Odoo res.partner (for Account documents) or crm.lead (for Deal documents). If Sales Mantra stores documents as internal platform references rather than public URLs, we flag these for manual retrieval before migration cutoff. Binary file migration is attempted where accessible; file references are preserved as notes if binary extraction is not possible.
Sales Mantra
Custom Fields (Account-level)
Odoo CRM
ir.model.fields (custom)
lossyAny custom fields exported on Sales Mantra Account records that are not part of the standard schema migrate to Odoo custom fields created via Odoo Studio. We create fields of the appropriate type (char, selection, integer, date, etc.) on res.partner before the account import phase. Fields that are no longer relevant or contain stale data are flagged for the customer's review before inclusion.
Sales Mantra
Custom Fields (Deal-level)
Odoo CRM
ir.model.fields (custom)
lossySales Mantra Deal custom fields migrate to Odoo crm.lead custom fields created via Odoo Studio. Any field that stores deal-specific metrics (advertising spend tracking, win/loss notes, custom deal flags) is preserved as a custom field on the opportunity record. We verify the field type mapping during the data audit and handle type conversion (e.g., delimited multi-value to selection field) where the Sales Mantra export uses non-standard formats.
Sales Mantra
Products / Line Items
Odoo CRM
product.product
1:1The Sales Mantra data export may or may not include a separate product catalog. If product records exist in the Sales Mantra instance, they migrate to Odoo product.product with product.template. We verify product data availability during the data audit phase and include product migration only if the export contains a Products object. Line items on Deals migrate to Odoo sale.order.line records linked to the parent crm.lead opportunity if the Sales Mantra instance tracks product associations on deal records.
| Sales Mantra | Odoo CRM | Compatibility | |
|---|---|---|---|
| Lead | crm.lead1:1 | Fully supported | |
| Account | res.partner1:1 | Fully supported | |
| Deal | crm.lead (type=opportunity)1:1 | Fully supported | |
| Deal Stage | crm.stagelossy | Fully supported | |
| Pipeline | crm.teamlossy | Fully supported | |
| Activity (calls, emails, tasks, notes) | mail.activity + mail.message1:1 | Fully supported | |
| Contact Classification (custom field) | crm.taglossy | Fully supported | |
| Owner/User | res.users1:1 | Fully supported | |
| Document attachment | ir.attachment1:1 | Fully supported | |
| Custom Fields (Account-level) | ir.model.fields (custom)lossy | Fully supported | |
| Custom Fields (Deal-level) | ir.model.fields (custom)lossy | Fully supported | |
| Products / Line Items | product.product1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Sales Mantra gotchas
No documented public API for automated export
Contact classification custom fields may not export cleanly
Document attachments require separate extraction workflow
Small vendor stability risk
Odoo CRM gotchas
Odoo.sh version gating blocks assisted migrations from trial
Enterprise modules fail to install on Community after database restore
Custom module view inheritance breaks between Odoo major versions
Custom fields risk losing their application context on Community
API access for Community is gated behind the Custom Plan
Pair-specific challenges
Migration approach
Scoped CSV extraction with dependency mapping
We extract Sales Mantra data in object-scoped CSV batches: Leads first, then Accounts, then Deals, then Activities. Each batch is scoped by record type to avoid empty fields from optional columns bleeding across objects. We document the foreign-key relationships (Deal-to-Account, Activity-to-Lead/Deal) during extraction so that the load order is preserved in Odoo. For large datasets, we run multiple export jobs and assemble the full dataset before any transformation begins. The customer provides the export credentials and we guide the scoped export process via screen-share.
Data audit and classification normalization
We audit every exported CSV for malformed columns, missing required fields, duplicate records, and inconsistent date formats. Contact classification columns receive special attention: we split delimited multi-value columns into individual normalized tag values, and we flag any classification logic that cannot be reconstructed from the flat CSV structure. The audit output is a written data quality report with row counts, duplication rates, and a list of fields that require transformation or manual review before Odoo import.
Odoo schema design and pipeline configuration
We design the destination Odoo CRM schema using Odoo Studio. This includes configuring crm.team records (one per Sales Mantra pipeline), crm.stage records with probability percentages matched to the source stage close rates, custom fields on crm.lead and res.partner to receive Sales Mantra custom field data, and crm.tag records for contact classification values. The schema is deployed to a staging Odoo environment first for validation before any production data moves.
Staging migration and reconciliation
We run a full migration into the staging Odoo environment using production-like data volume. The customer reviews record counts (Leads in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 records against the Sales Mantra source, and validates that pipeline stages, probability values, and tag assignments match expectations. Any field mapping corrections, stage probability adjustments, or custom field additions happen in staging. The customer sign-off on staging migration is the gate for production cutover.
Production migration in dependency order
We run production migration in record-dependency order: res.users (owner provisioning, validated), res.partner (from Sales Mantra Accounts), crm.lead with type=lead (from Sales Mantra Leads), crm.lead with type=opportunity (from Sales Mantra Deals with partner_id and stage_id resolved), mail.activity and mail.message (Activities linked to the resolved Lead and Opportunity records), crm.tag assignments (contact classification applied to each crm.lead), and ir.attachment records (documents linked by URL where accessible). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Sales Mantra writes during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo as the system of record. We deliver a written inventory of every Odoo automation, server action, and approval workflow that the customer should consider rebuilding based on the migrated data. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Sales Mantra workflows as Odoo Automations inside the migration scope; that is a separate engagement or an internal Odoo admin task.
Platform deep dives
Sales Mantra
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sales Mantra and Odoo CRM.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Sales Mantra: N/A — no public API.
Data volume sensitivity
Sales Mantra doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Sales Mantra to Odoo CRM migration scoping. Not seeing yours? Book a call.
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