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Retail & E-commerce

Sell Everywhere. Run It as One Business.

We help retailers, D2C brands, marketplaces and quick-commerce operators connect storefronts, stores, inventory and customer data. That way every channel shows the same stock, the same price and the same customer, and AI and automation go where they lift margin.

Talk to UsWays to Start
Shoppers don’t think in channels, but most retail systems still do. Growth now depends less on another storefront and more on whether stock, orders and customer data agree in real time.
Our point of view
Two colleagues working on a laptop in a clothing store

$2.36TIndia’s projected retail market by 2030

$345BIndia’s projected e-commerce market by 2030

Retail Now

Retail Is Growing Fast. Operations Must Keep Pace.

Faster delivery promises, more channels and higher customer expectations are changing how retailers plan, sell and fulfil.

  • $2.36T

    India’s projected retail market by 2030

    Up from $1.09T in 2025. More volume means more strain on systems that weren’t built to connect.

    Source: IBEF, Retail Infographic, May 2026

  • $345B

    India’s projected e-commerce market by 2030

    Up from $125B in 2024. Online is growing faster than retail overall.

    Source: Infisum report via IBEF, 2026

  • 2/3

    of e-grocery orders already go through quick-commerce platforms

    Ten-minute delivery has reset what customers expect everywhere.

    Source: Bain & Company, How India Shops Online 2025

  • 7,500

    dark stores expected by 2030

    Up from about 2,525 in 2025. Fulfilment is moving closer to the customer and getting harder to coordinate.

    Source: Infisum report via IBEF, 2026

Strategic Priorities

The Problems Retail Leaders Bring to Us

Six recurring issues we hear from commerce, operations, marketing and technology leaders. Each one maps to the capabilities further down this page.

  • P01

    Inventory That Doesn’t Match

    Store, warehouse, marketplace and website stock are out of sync.

    We often hear“We sold it online, but it wasn’t on the shelf.”

  • P02

    Disconnected Channels

    Website, app, marketplaces, POS and ERP run as separate businesses.

    We often hear“Every new channel adds another spreadsheet.”

  • P03

    Customer Data in Silos

    Loyalty, online, store and support data never meet.

    We often hear“We know the order, not the customer.”

  • P04

    Manual Order & Returns Operations

    Orders, returns, refunds and reconciliation run on manual effort.

    We often hear“Returns eat our margin and our team’s week.”

  • P05

    Personalisation That Doesn’t Pay Back

    Recommendations and campaigns run on generic segments.

    We often hear“Our offers go to everyone, so they work for no one.”

  • P06

    Slow, Conflicting Reporting

    Sales, margin and stock reports arrive late and disagree.

    We often hear“By the time we see the numbers, the sale is over.”

Segments

Who We Work With in Retail & E-commerce

Each segment sells differently and runs on different systems. We shape the work to fit.

  • Store assistant using a tablet point-of-sale at the counter

    Omnichannel Retailers

    Fashion, electronics, grocery, specialty chains

    Connect stores, websites, apps and ERP so stock, pricing and orders agree.

    • CIO
    • Head of Omnichannel
    • Store Operations
  • Brand owner photographing a handbag for an online store

    D2C & Consumer Brands

    Digital-first brands, FMCG, beauty, lifestyle

    Unify storefront, marketplace and customer data to grow repeat purchases.

    • Founder
    • Head of E-commerce
    • Growth & CRM
  • Online seller packing an order beside a laptop

    Marketplaces & Quick Commerce

    Marketplaces, q-commerce, dark-store networks

    Scale catalogue, seller, order and fulfilment systems at high volume.

    • CTO
    • Supply Chain Head
    • Seller Operations
  • Warehouse worker checking stock with a tablet and scanner

    Distributors & B2B Commerce

    Wholesale, B2B portals, dealer networks

    Digitise ordering, pricing and dealer workflows on connected systems.

    • Sales Head
    • IT Director
    • Channel Operations

Value Chain & Use Cases

Where We Help Across the Retail Value Chain

Use cases we deliver at each stage, tagged by the capability behind them.

  1. Plan & Buy

    • Demand forecasting from sales and seasonality dataAI
    • Merchandise and assortment dashboardsData

  2. Catalogue & Pricing

    • Product data management (PIM) across channelsIntegration
    • AI-assisted product descriptions and taggingAI

  3. Sell

    • Storefront and app engineering (headless commerce)Engineering
    • Marketplace and POS integrationIntegration

  4. Order & Fulfil

    • Order management and routing (OMS)Automation
    • Real-time inventory visibility across locationsData

  5. Engage & Retain

    • Unified customer profile (CDP) and loyaltyData
    • Personalised recommendations and campaignsAI

  6. Service & Returns

    • Returns, refunds and reconciliation workflowsAutomation
    • AI support assistant with human handoverAI

Sample Engagements

What Working With Us Could Look Like

Typical projects based on the problems above, with what we would measure.

Store manager checking stock on the shop floorIllustrative engagement

Omnichannel Retailer

One Inventory View Across Stores and Online

Situation
Website, stores and marketplaces read stock from different systems, so orders get cancelled and shelves overstock.
What we would do
Integrate POS, ERP, warehouse and marketplace stock into one real-time inventory service, with order routing to the best location.
  • Fewercancelled orders (target)
  • Betterstock availability

Capabilities

Capabilities Mapped to Your Priorities

See which of our practices answers each priority, so you know where to start.

  • Application Engineering

    Storefronts, apps, headless commerce

    1. Inventory That Doesn’t Match: not a main fit
    2. Disconnected Channels: primary fit
    3. Customer Data in Silos: not a main fit
    4. Manual Order & Returns Operations: not a main fit
    5. Personalisation That Doesn’t Pay Back: supporting
    6. Slow, Conflicting Reporting: not a main fit

  • AI & Intelligent Automation

    Forecasting, recommendations, assistants

    1. Inventory That Doesn’t Match: supporting
    2. Disconnected Channels: not a main fit
    3. Customer Data in Silos: not a main fit
    4. Manual Order & Returns Operations: supporting
    5. Personalisation That Doesn’t Pay Back: primary fit
    6. Slow, Conflicting Reporting: not a main fit

  • Data Engineering & Analytics

    Pipelines, CDP, dashboards

    1. Inventory That Doesn’t Match: supporting
    2. Disconnected Channels: not a main fit
    3. Customer Data in Silos: primary fit
    4. Manual Order & Returns Operations: not a main fit
    5. Personalisation That Doesn’t Pay Back: supporting
    6. Slow, Conflicting Reporting: primary fit

  • Integration & Workflow Automation

    ERP, POS, OMS, marketplaces

    1. Inventory That Doesn’t Match: primary fit
    2. Disconnected Channels: primary fit
    3. Customer Data in Silos: supporting
    4. Manual Order & Returns Operations: primary fit
    5. Personalisation That Doesn’t Pay Back: not a main fit
    6. Slow, Conflicting Reporting: supporting

  • Cloud, DevOps & Platforms

    Scale for sale days, CI/CD, monitoring

    1. Inventory That Doesn’t Match: not a main fit
    2. Disconnected Channels: supporting
    3. Customer Data in Silos: not a main fit
    4. Manual Order & Returns Operations: not a main fit
    5. Personalisation That Doesn’t Pay Back: not a main fit
    6. Slow, Conflicting Reporting: not a main fit

  • Secure & Governed Design

    Consent, payments security, access control

    1. Inventory That Doesn’t Match: not a main fit
    2. Disconnected Channels: not a main fit
    3. Customer Data in Silos: supporting
    4. Manual Order & Returns Operations: supporting
    5. Personalisation That Doesn’t Pay Back: not a main fit
    6. Slow, Conflicting Reporting: not a main fit
  1. P01 Inventory That Doesn’t Match
  2. P02 Disconnected Channels
  3. P03 Customer Data in Silos
  4. P04 Manual Order & Returns Operations
  5. P05 Personalisation That Doesn’t Pay Back
  6. P06 Slow, Conflicting Reporting

How We Work

Five Steps From Challenge to Measurable Result

Releases are planned around your trading calendar, so nothing goes live during peak sale periods without your sign-off.

Discuss Your Retail Priorities

  1. Discover the Challenge

    Understand your channels, systems, data flows, customers and peak periods.

  2. Define Scope & Measures

    Agree use cases, deliverables, baselines and the metrics that matter, such as availability, conversion and margin.

  3. Design With Controls

    Plan architecture, integrations, consent, payment security and scale for traffic spikes.

  4. Build & Test

    Develop the solution and test it against agreed acceptance criteria, including load tests for sale days.

  5. Launch & Improve

    Roll out in phases, monitor results and keep tuning based on what customers actually do.

FAQs

Questions Retail Teams Ask Us

Still have a question?

Talk to us about your channels, systems and growth goals.

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Can TECHAIVV connect our ERP, POS, marketplaces and storefront?

Yes, through API integration, middleware and event-driven data flows. What’s possible depends on each system’s interfaces, data quality, access permissions and contracts with platform partners.

Do we need to replatform to go omnichannel?

Not always. Many retailers get further by connecting and cleaning up what they already run. We recommend replatforming, such as moving to headless commerce, only when the current platform truly blocks growth.

How do you handle customer data and consent?

We design for consent capture, purpose limits and access control, in line with India’s DPDP Act and your own policies. Data handling, retention and security are agreed with your teams up front.

Will AI personalisation and forecasting work for us?

It depends on your data volume, quality and history. We start with a measured pilot against a baseline, and scale only what shows a clear lift.

How do we get started?

With a short discovery of your channels, systems and priorities. Then we agree one use case and its measures, and deliver that first.

Let’s Build Together

Build Retail That Runs as One

Connect your channels, trust your stock and customer data, and put automation and AI where they lift sales and margin.

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  • Connected Channels
  • Real-Time Inventory
  • Unified Customer Data
  • AI & Automation