Skip to main content

What are you looking for?

Explore our services and discover how we can help you achieve your goals

Digital and AI transformation in emerging markets: a practical guide

Companies in emerging markets can often skip a generation of technology: go mobile-first instead of desktop-first, cloud-first instead of building data centres, and design AI into new processes instead of retrofitting it. The plan still has to fit local payments, languages, data-protection rules and budgets. This guide explains where leapfrogging works, where it fails, and how to stage the work.

Book a solution review See the related service

Reviewed by David (CEO) · Updated 17 Sep 2026 · 9 min read

star

It is written for owners, CEOs, CIOs and transformation leads of growing companies in Southeast Asia, South Asia, Africa, Latin America and the Middle East, and for international firms entering those markets. It does not replace legal advice; laws are named as examples to check, not as a compliance checklist.

What makes emerging-market transformation different

Three conditions change the plan compared with a mature market.

Customers arrive on phones first. The World Bank's Global Findex 2025 reports that 84% of adults in low- and middle-income countries own a mobile phone. For many customers the phone is the only screen, so the mobile journey is the product, not a channel beside a website.

Legacy is lighter, but so are budgets. A younger company may have no ERP to replace, which makes a clean design possible. It also has less money and fewer senior engineers, so every phase must pay back quickly.

Rules are new and still changing. Data-protection laws have arrived fast. UNCTAD tracks data protection and privacy legislation by country, and several large markets have passed or updated comprehensive laws in the last few years. Plans need to allow for rules that tighten during the project.

Leapfrogging: which route to take

Decision Leapfrog route Legacy-first route
Customer channel Mobile app or mobile web first, with chat and wallet payments Desktop website first, mobile later
Infrastructure Managed cloud services from day one Own servers, migrated to cloud later
Business systems Cloud ERP and CRM connected by APIs Separate installed systems joined by exports
AI Designed into new workflows with human review Added later to processes built without it
Main risk Vendor lock-in and rules that change mid-project Cost of rebuilding what was just built

Leapfrogging is usually right for new channels and new processes. It is riskier for a core process that already works: a company with a stable installed ERP gains more from connecting it through APIs than from replacing it in year one. Our digital transformation roadmap shows how to stage those decisions with gates.

Payments and localisation

Payments decide conversion more than design does. In many emerging markets, cards are only one option beside bank transfers, e-wallets, QR payments, instalments and cash on delivery. A practical rule: support the two or three methods your customers already use, through providers licensed in the market, and keep a payment abstraction layer so methods can be added without touching checkout logic. Reconciliation matters as much as acceptance: cash on delivery and bank transfers need matching back to orders, which is a common place for automation and, later, AI.

Formal saving is growing fast: Global Findex 2025 reports that 40% of adults in developing economies saved in a financial account in 2024, up 16 percentage points since 2021. Plans should expect customers to move between cash and digital payments for years.

Localisation goes beyond translation:

  • Formats. Currencies, number and date formats, addresses and names follow locale data such as the Unicode Common Locale Data Repository (CLDR).
  • Languages. Several languages may be needed in one country, including right-to-left scripts.
  • Networks and devices. Pages and apps must work on low-cost phones and unstable connections, with light images and offline-tolerant flows.
  • Channels. Messaging apps are often the main service channel, so order updates and support belong there.

For store and marketplace builds, see our ecommerce development service and the e-commerce marketplace solution.

Data protection and data residency

Treat privacy law as a design input, not a launch checklist. Examples of recent frameworks to check with counsel:

  • Vietnam

    Framework
    Personal Data Protection Law, in force from 1 January 2026, with Decree 356/2025/ND-CP
    What to check early
    Consent, data-subject rights and impact assessments for cross-border transfers
  • India

    Framework
    Digital Personal Data Protection Act, 2023, and the DPDP Rules, 2025
    What to check early
    Consent notices, data-principal rights and the 18-month phased compliance timeline
  • Brazil

    Framework
    General Data Protection Law (LGPD), Law 13.709 of 14 August 2018
    What to check early
    Legal bases, data-subject rights and international transfers
  • Nigeria

    Framework
    Nigeria Data Protection Act 2023, enforced by the Nigeria Data Protection Commission
    What to check early
    Lawful bases, data-subject rights and cross-border transfers

Three design habits reduce rework: map where personal data is stored and processed, including model APIs; keep a region choice in the cloud design so data can stay in-country if a rule or a customer requires it; and send AI models only the data a task needs, masking personal data where possible. Our AI integration work follows those rules by default.

Cost-efficient delivery, step by step

  1. Start with one measurable problem

    Lost orders, slow payments reconciliation or manual stock updates, with a baseline.

  2. Buy the commodity, build the difference

    Use cloud ERP, payment providers and proven commerce platforms; build only what sets you apart.

  3. Ship a mobile-first pilot

    A lean first release to one segment or city, measured against the baseline.

  4. Connect through APIs

    Keep systems loosely coupled so a vendor or payment method can change later.

  5. Add AI where data now exists

    Once orders, tickets and catalogs are digital, AI can draft replies, classify requests and forecast demand.

  6. Scale by gates

    Fund the next phase only when the pilot's measure has moved.

A distributed team keeps cost down if governance is strong: a named owner on each side, weekly reviews of working software and written acceptance criteria. If no one inside the company can own these decisions, a fractional CTO or CIO can lead them for a fixed term.

How a Vietnam-based team fits

Vietnam is itself a fast-digitising market, so a Vietnam-based team knows mobile-first commerce, e-wallet payments and new data rules from the inside. Netbase works from its head office at 91 Nguyen Chi Thanh Street, Hanoi, in English, Monday to Saturday on Vietnam time (UTC+7), which overlaps the working day across Southeast Asia and much of Asia-Pacific and the morning in Europe and Africa.

Honest scope matters: most Netbase projects come from clients outside Vietnam, mainly in the United States and Europe. Emerging-market experience includes Odoo ERP consulting and customisation in Vietnam with a local Odoo implementation partner, for retail store chains, a food and beverage franchise chain, manufacturers and distributors, and a Magento store with companion Android and iOS apps for an omnichannel fashion retailer in Nigeria; these clients are not named.

Delivery follows our six-step process: Agile increments reviewed weekly, lean pilots, remote-first collaboration and security designed in. Most Netbase projects are delivered on fixed-price contracts agreed after discovery. For the practical side of working with a Vietnam team, read our guide to software development outsourcing in Vietnam.

Where AI fits first

In emerging markets AI pays first where volume is high and skilled staff are scarce: customer messages in several languages, product content, document capture for invoices and delivery notes, and demand forecasting once sales data is digital. For a company-wide plan, see AI transformation.

Plan the next step with a Netbase consultant

FAQ

No. It avoids rebuilding legacy systems, but new platforms need integration, training and data work. It is cheaper when a process is new or broken, not when it already works.

Mobile web first when customers find you through search and links; an app when they buy repeatedly and notifications matter. Many companies start with mobile web and add an app later.

Sometimes. It depends on the law, the sector and customer contracts. Design for a region choice early and confirm the requirement with counsel.

Often, but quality varies by language and task. Test each language on your own examples before launch and keep a person reviewing output that reaches customers.

Pick one measurable problem, set a baseline and run a mobile-first pilot. Then decide the next phase on evidence.

Next step

Mobile-first proof from a mature market: Geo-Tek IT Solutions needed a design platform that worked on every device and connected to internal systems, and our mobile app development service covers native and cross-platform apps. More retail patterns are in retail and e-commerce, and more guides in Insights.

Planning a phased digital or AI transformation for your market? Book a solution review.

AI-enabled ecommerce development for merchants who outgrew templates AI-enabled ecommerce development for merchants who outgrew templates

Netbase provides custom ecommerce development for merchants that have outgrown templates, to turn existing traffic into orders and run operations with less manual work, using AI for search, recommendations and catalog work where it pays. We build on WooCommerce, Magento 2, Laravel and headless stacks; 4over4, whose store gained an AI recommendation engine, reported 82% more revenue within six months.

Learn More
line
AI transformation services: from strategy and pilots to AI at scale AI transformation services: from strategy and pilots to AI at scale

Netbase provides AI transformation services for leadership teams that want AI to change how the business runs, not only to produce a few experiments. We set the AI ambition and operating model, rank use cases by value and readiness, run governed pilots, scale what works and track the value, with change management built in from the first month. AI transformation is a growth capability at Netbase.

Learn More
line
Multi-vendor marketplace development: vendors, catalog, payouts and AI search on one platform Multi-vendor marketplace development: vendors, catalog, payouts and AI search on one platform

A multi-vendor marketplace is a commerce platform where many independent sellers list, sell and get paid through one storefront. Netbase's marketplace solution covers vendor onboarding, a shared catalog, split payments and payouts, with AI for search, listing enrichment and fraud checks. For an EU fashion-tech marketplace, Netbase's work grew gross merchandise value (GMV) 47% and cut vendor onboarding time 60%.

Learn More
line
Contact Netbase

Discuss a project

Netbase JSC helps organizations design, build, modernize, and operate digital products and AI-enabled business systems.
Project enquiries

[email protected]

WhatsApp

+84 937 869 689

Office address

91 Nguyen Chi Thanh, Dong Da, Hanoi, Vietnam

Get in touch

Tell us what you want to build, modernize, or operate.

Tell us what you want to build, modernize, or operate.

Contact Netbase