WhatsApp Commerce Infrastructure
How growing brands turn WhatsApp from a support channel into a measurable revenue surface with catalog, payment, CRM, automation, and reporting workflows.
What is OG Marka?
OG Marka builds implementation-led revenue infrastructure for growing brands that already depend on WhatsApp, but need cleaner CRM ownership, AI-assisted follow-up, payment or ERP context, and reporting discipline. The work is not a generic software suite or an agency retainer; it is a staged operating layer around the workflows that create, convert, and retain revenue.
Category Map
The five systems that define the operating layer
CRM and Revenue Operations
How brands replace spreadsheet-led selling with owned pipeline stages, lead routing, WhatsApp context, follow-up discipline, and management reporting.
AI Agent Operations
How AI agents qualify leads, answer repeat questions, route work, and support teams when they are designed with escalation, review, and operating controls.
ERP and Back-Office Systems
How finance, inventory, invoicing, and fulfillment data connect with revenue workflows so leadership can trust stock, payment, and operational reporting.
Migration from Fragmented SaaS
How founder-led teams move from too many disconnected tools into a smaller operating layer with clear ownership, data flow, workflows, and reporting.
Operator Walkthrough
How the platform changes the day-to-day
Stage 1
Capture demand in one place
Leads from forms, WhatsApp, ads, calls, and campaigns land in an operating layer with ownership instead of a morning reconciliation ritual.
Stage 2
Route work with rules
Hot leads, support questions, payment issues, and operational tasks move through defined owners, automations, and escalation paths.
Stage 3
Close the loop with reporting
Revenue, response time, campaign, WhatsApp, and fulfillment signals roll into dashboards that show cause and effect.
Automation Maturity
From manual coordination to optimized infrastructure
Manual operations
Revenue work lives in inboxes, spreadsheets, and founder memory.
Map the current workflow and define the first system of record.
Connected workflows
CRM, WhatsApp, payments, and operations tools exchange enough context to reduce duplicate entry.
Standardize routing, ownership, and reporting cadence.
Assisted automation
AI agents and rules handle repeatable work while humans review exceptions and high-value decisions.
Measure transcript quality, response outcomes, and workflow exceptions.
Optimized revenue infrastructure
Revenue, operations, and customer workflows improve from shared data, dashboards, and review loops.
Use performance data to tune segments, agents, routing rules, and productized workflows.
First 30 Days
What implementation actually looks like
The first month should reduce manual handoffs, prove a useful workflow, and build team trust before broader rollout. Scope changes are handled through review, not by pretending every system has the same timeline.
•Week 1: audit the current stack, data ownership, and revenue workflow.
•Week 2: define CRM stages, WhatsApp handoffs, roles, and first automations.
•Week 3: connect priority workflows across WhatsApp, payments, ERP, or reporting.
•Week 4: train the team, review live data, and lock the next operating cadence.
Implementation Checklists
The decisions to lock before build
•Current-stack inventory and tool overlap
•System-of-record decisions for leads, customers, orders, payments, and stock
•WhatsApp/API approvals, opt-in rules, templates, and escalation owners
•CRM stages, qualification criteria, follow-up rules, and reporting cadence
•Security, handover, access review, backups, and offboarding responsibilities
Buyer Guides
Useful next reads by intent
Buyer decisions
Transparent Pricing
OG Marka keeps individual service pricing visible, but the right starting point depends on workflow urgency, current stack, data quality, and the smallest implementation that can create operational clarity.
Get Started
Ready to scope the operating layer?
Book a strategy call. We'll review the current stack, revenue workflow, and highest-leverage starting point before recommending implementation.