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DBSDepra Business
BPO · Service 04

High-volume work, done accurately

Orders, documents, catalogues, verification and data entry. One person does it, a second checks it, and you get the throughput and the error rate every day.

Target accuracy after checker pass
99.5%
Batches with a maker-checker record
100%
Throughput and exception reporting
Daily
©CapabilitiesWhat the team does
What we do

What the team actually does

01

Order and fulfilment operations

Order entry, exception handling, returns, refunds, cancellations and courier follow-up across your storefront and ERP.

02

Document processing

Classification, extraction, validation and filing for invoices, claims, contracts and onboarding packs — with the rejected set routed for review, not silently dropped.

03

Catalogue and content operations

Product onboarding, attribute enrichment, image QC, taxonomy mapping and price and stock updates at marketplace scale.

04

Verification and KYC support

Document checks, identity verification support and compliance checklists run against your policy, with every decision evidenced.

05

Maker-checker discipline

Nothing high-impact ships on one pair of eyes. The checker is a different person, the record is kept, and the error rate is measured per operator.

06

Process documentation

We write the SOP as we learn the process. You end up owning a documented operation rather than renting an undocumented one.

©ScopeWhat you get, and how it is judged
In scope

What is included

  • Process discovery and written SOPs
  • Dedicated processing pod with a team lead
  • Maker-checker workflow and audit log
  • Daily throughput, exception and accuracy reporting
  • Sampled QC with per-operator error tracking
  • Quarterly automation review

Channels

  • Batch queues
  • Shared inboxes
  • ERP / admin panels
  • Marketplace seller portals
  • SFTP drops

Tools we work in

  • Shopify
  • WooCommerce
  • SAP
  • Zoho Books
  • Airtable
  • Google Workspace
  • Amazon Seller Central

Your instance, your data, named accounts. If your stack is not listed, we learn it — the tool is rarely the hard part.

Service-level targets

Service-level targets for Back Office & Data Operations
MetricTarget
Post-check accuracy≥ 99.5%
Turnaround time — standard batch< 24 hours
Exception queue age≤ 48 hours
Rework rate≤ 1%
SOP coverage of live process100%

Targets, not guarantees. Your current performance is measured in week one and the agreed target is written into your contract.

©FAQBack Office & Data Operations — good to know
Questions

Questions about this service

If yours is not here, email us. A person answers, usually the same day.

  • Two ways. Per FTE when volume is steady and the work is varied, or per transaction when the unit of work is clean and countable. Most engagements start on FTE and move to per-transaction once a baseline throughput exists.

  • Where it makes sense, yes. We run a quarterly automation review and flag what a script or workflow should be doing instead of a person. Long-term partners cost less per unit each year; that is the point.

©RelatedPractices that pair with this
Back Office & Data Operations

Let's talk about back office & data operations

Half an hour to walk through the job, then a written scope with volumes, targets and a price. Yours whether or not we work together.

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