E-commerce

CRM & Sales Automation for E-commerce

CRM & Sales Automation for e-commerce, built around the constraint that defines the sector: every change must be justified by a controlled experiment against revenue.

Regulations in scope
4
Systems we integrate
5
Typical first release
6 weeks

What changes when it is e-commerce

Orqent Labs automates the CRM layer so your pipeline data becomes trustworthy enough to forecast from.

In e-commerce, every change must be justified by a controlled experiment against revenue. That single fact reshapes how crm & sales automation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is search relevance, usually integrated against Shopify, Magento or custom storefronts. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.

The sector constraints we design around

Defining constraint
every change must be justified by a controlled experiment against revenue
Regulations in scope
consumer protection e-commerce rules · DPDP Act 2023 · GST · return and refund policy requirements
Systems of record
Shopify, Magento or custom storefronts · OMS · payment gateways · logistics aggregators · CRM
Where we usually start
catalogue enrichment and attribute extraction

CRM & Sales Automation workloads in e-commerce

  • catalogue enrichment and attribute extraction
  • search relevance
  • product recommendations
  • return-reason analysis
  • support automation

What is included

  • Lead enrichment and deduplication
  • Scoring models trained on your actual closed-won history
  • Call transcription with automatic CRM notes
  • Follow-up drafting with the rep in control
  • Pipeline hygiene nudges instead of nagging reports
  • Attribution and forecast accuracy reporting

Questions from this sector

How quickly can we see conversion impact?

Search and recommendation changes usually show within two to four weeks of experiment traffic, assuming enough volume to reach significance.

Can you fix our catalogue data?

Yes, attribute extraction from images and descriptions, plus deduplication. Catalogue quality quietly limits both search and recommendations.

Which CRMs do you work with?

Salesforce, HubSpot, Zoho, Pipedrive and Microsoft Dynamics, plus custom CRMs through their APIs.

Will reps actually use it?

Adoption follows from removing work rather than adding it. Automatic call notes and enrichment get used; another mandatory field does not.

Does it send emails automatically?

Only if you want it to. Our default is draft-and-review, because an automated message to the wrong prospect costs more than the time it saved.

CRM & Sales Automation for e-commerce, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878