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E-COMMERCE, RETAIL & MARKETPLACES

DPDP Compliance
for E-commerce

A customer’s search history, delivery addresses, payment details and order logs are personal data under the DPDP Act. DPDP.ai merges consent, cookies, customer requests and seller monitoring into one system, helping your store grow while staying ready for review.

  • RBI and DPDP mapped together
  • Notices in 22 languages
  • Go live in as little as 2 weeks
Why it matters

What DPDP Changes
For E-commerce

Online retailers and marketplaces are Data Fiduciaries. The couriers, payment gateways, hosting providers and analytics tools used by them are Data Processors. DPDP.ai helps you meet compliance obligations from a singular platform across storefronts, apps and partners.

Understand your shopper data

Customer’s accounts, carts, their addresses and orders stay in the store, CRM, warehouse and support tools. DPDP.ai discovers and tags it, then maps each item to its system.

Separate consent for each purpose:

Fulfilling an order, sending promotions and building profiles each need their own permission. DPDP.ai offers multilingual notices linked to a purpose. It displays the data in a single ledger recording each choice and withdrawal.

Trackers held back until allowed

Pixels, SDKs and ad tags should not work before a visitor allows them to. Cookie management blocks non-essential ones and stores the decision.

A clear timeline to plan ahead with

Consent Manager registration opens on 13 November 2026, with main duties starting on 13 May 2027. DPDP.ai's modules (Consent Core, Flow, Control, Govern) let you start with consent and expand later.

Organised display of third-parties

Check risks of vendors and show which marketplace seller, courier or payment partner receives which data. DPDP.ai helps you do this in one place, so each partner is linked to the data they handle and nothing gets missed.

High stakes for large platforms

Fines could reach up to ₹250 crore per violation, depending on the breach. Businesses with 2 crore or more registered users in India must delete data of long-inactive. DPDP.ai keeps both in check.

Challenges

Why E-commerce Struggles with DPDP

As businesses scale with speed and nonstop experiments the privacy risks multiply. This is where teams struggle first.

Contact Sales
  1. 01

    Trackers on every page

    Ecommerce sites use pixels, SDKs and ad tags to track shoppers. Numerous trackers end up collecting data without valid consent.

  2. 02

    Consent that is bundled or buried

    Pre-ticked boxes and vague pop-ups fall short of free, specific and informed consent.

  3. 03

    Details passed down the chain

    Customer data moves to sellers, delivery firms, payment partners and support vendors; leaving businesses with more burden of managing them.

  4. 04

    Customer requests pile up fast

    Shoppers and customers might ask to see, fix or erase their data whenever they like. The businesses must reply to these requests in a timely manner.

  5. 05

    Cleaning up dormant accounts

    Spotting inactive users and warning them before deletion is hard to do by hand.

  6. 06

    Shopping by younger buyers

    Age checks and guardian consent must fit in without spoiling the buying journey for any customer.

How DPDP.ai helps

How DPDP.ai helps with
every e-commerce challenge

  • E-commerce challenge: Customer data across storefront, CRM, warehouse and support tools

    How DPDP.ai solves it: Source scanning delivers a living map of where shopper data sits and moves.

  • E-commerce challenge: Trackers firing before consent

    How DPDP.ai solves it: Cookie controls hold non-essential trackers until the visitor agrees and keep their choice on file.

  • E-commerce challenge: Order, marketing and profiling consent blended together

    How DPDP.ai solves it: A consent engine keeps every purpose apart, with version history and withdrawal.

  • E-commerce challenge: Personal data reaching sellers, couriers and payment partners

    How DPDP.ai solves it: Each partner is reviewed regularly against the terms of its processing agreement.

  • E-commerce challenge: Large numbers of access, correction and erasure requests

    How DPDP.ai solves it: Requests are logged, routed and completed across linked systems on time.

  • E-commerce challenge: Dormant accounts due for deletion

    How DPDP.ai solves it: Inactivity is tracked, triggering advance notices and removal steps.

  • E-commerce challenge: A breach touching customer and order records

    How DPDP.ai solves it: A guided workflow gathers evidence and carries the response through to timely notice.

  • E-commerce challenge: Notices not written in customers' languages

    How DPDP.ai solves it: Notices and consent screens are published in several languages.

Trusted by banks, insurers and lenders across India

FAQs

Your doubts on DPDP and e-commerce answered.

Legal, marketing and tech teams at stores and businesses often ask us these questions.

Talk to an Expert
Is a shopper's search and order data personal data under the DPDP Act?

Yes it is. Search history, delivery addresses, payment details and order logs are all personal data under the DPDP Act.

Is consent needed for cookies and trackers?

Yes. When cookies process personal data and there are checks on that data processing, consent is required.

Who is responsible if a courier or payment partner mishandles data?

The Data Fiduciary is responsible for it. If you are an e-commerce business, you are a data fiduciary.

How can DPDP.ai help an e-commerce store stay compliant?

DPDP.ai brings consent, cookie control, customer requests and vendor monitoring into one system. This helps your store grow while staying DPDP compliant.

How are inactive accounts managed in e-commerce?

Large e-commerce entities have to erase data of users who stay inactive for the prescribed period, after warning the inactive users.

Get started

Add clear consent choices throughout
a shopper's journey

Discover how DPDP.ai can bring your storefront, shopper consent and sellers into one clear compliance view.

  • Live demo on a banking use case
  • Gap assessment across consent, data and vendors
  • Go live in as little as 2 weeks

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