Our Latest Work

fizdi

Fizdi is a unique, rare and one of its first kind online e-retailers that sells an exclusive range of contemporary and modern artworks at the most competitive rates.

portfolio-canningvale

Canningvale was founded in 1977 by father and son, Giovanni and Frank Prainito. It was the 70’s and our founder Giovanni Prainito, an Italian refugee from Libya, had an association with a boutique terry towel mill in Bergamo, Italy.

portfolio-kids-jungle (2)

Kids Jungle was very keen and excited in selling kids clothing and accessories which need to be targeted to a large mass of audience around the world. This idea was transformed into an online store – ‘Kids Jungle’

Phone-Pharmacy

Jood TBS had an idea of a one stop estore, where users can find all the accessories and spare parts for their smartphones of any brand and this lead to Phone Pharmacy. On this online store, you can find thousands of amazing products at unbelievably affordable prices.

Voltaic

Voltaic Systems is a portable solar power company based in Brooklyn, New York. With varied numbers and types of electronic devices multiplied used these days.

Author: dit-india

Ecommerce

AI Automation for Ecommerce: 15 Tasks Businesses Can Automate in 2026

by dit-india

Frequently Asked Questions

AI automation for ecommerce combines artificial intelligence with workflow tools, APIs and business rules to complete repetitive commerce tasks. It can classify customer requests, analyse reviews, recommend products, prepare reports, update CRM records and coordinate work across ecommerce, ERP, warehouse and customer-support systems.

AI can support customer service, order tracking, catalog management, product tagging, recommendations, site search, cart recovery, segmentation, email workflows, inventory monitoring, forecasting, review analysis, returns, reporting and integrations between systems. The best tasks are repetitive and have clear data inputs and measurable outcomes.

AI can reduce costs by removing repetitive manual steps, decreasing support workload, speeding up catalog management, identifying problems earlier and reducing the time employees spend moving data between systems. Savings depend on transaction volume, workflow complexity and how much employee time the process currently consumes.

Yes. AI can answer FAQs, retrieve order status, explain policies, recommend products and classify support requests. The strongest systems connect AI with real customer, product and order data. Sensitive complaints, unusual refund cases and high-value customers should still have clear escalation paths to employees.

An AI agent is software that can interpret information, decide which permitted action to take and execute multiple workflow steps toward a goal. In ecommerce, an agent might analyse an order issue, retrieve shipping data, determine the likely problem, create a support case and notify the appropriate team.

Yes, but smaller businesses should start simply. Automating support FAQs, reporting, product content, inventory alerts or CRM updates may provide more value than building complicated autonomous agents. The goal should be to remove genuine operational friction rather than introducing AI into every process.

Costs vary widely. A simple workflow built with an existing automation platform can be relatively inexpensive, while custom automation involving AI models, ERP systems, multiple APIs, private data and monitoring can become a substantial software project. Cost should be compared with employee time saved, error reduction and potential revenue impact.

It depends on the workflow. Zapier is useful for many straightforward business automations, Make works well for visual multi-step workflows, and n8n can provide more control for technically complex automation. Data volume, hosting, custom code, API usage, security and maintenance should influence the choice.

Consider an agency when your automation crosses several systems or requires custom APIs, AI models, ecommerce expertise, security controls, monitoring or approval workflows. An experienced external team can also help businesses validate automation opportunities before committing to a larger internal AI engineering function.

Look for production ecommerce experience rather than AI demos alone. Companies like DIT India can be evaluated based on their experience with Shopify or BigCommerce APIs, workflow tools, ERP integrations, authentication, monitoring, failure handling, security, and documentation. A good AI automation company should clearly explain which processes are suitable for AI and which are safer to manage with standard rule-based automation.

Shopify

AI in Shopify: How Indian Brands Can Automate and Scale Their Stores

by dit-india

Frequently Asked Questions

Automation through AI in Shopify makes use of artificial intelligence in order to understand data from the store, comprehend the events that have taken place, suggest actions, or even execute tasks. Examples of automation in this case may be customer services, merchandising, product recommendations, etc.

Agent-Based Development in Shopify links AI agents to the data, APIs, apps, and business systems of Shopify so that they can accomplish multiple tasks according to a set of rules. Rather than producing text, the agent will analyze sales, look at the stock, detect any issues, prepare to act, and get approval from the worker.

In theory, there are various processes that could be automated, but full automation is not always a wise option. Issues such as price adjustment, issuing of refunds, payment processing, conflicts between customers and businesses, buying process, and decisions regarding the personal data of clients should be handled by people.

AI can help in sales through improvements in product discovery, search relevance, recommendations, customer service, segmentation, cart abandonment, merchandising, and retention marketing. AI typically produces the best results when it solves a particular customer or business issue, not just by implementing it due to its popularity.

Sure. Shopify offers features like APIs, apps, automation, customer and product data, analytics, and integrations that help achieve AI commerce. Indian brands can also integrate Shopify with local logistics, ERPs, WhatsApp channels, payments, CRMs, and even custom apps.

The cost of development depends greatly on scope. Setting up and configuring an existing AI app might need little development, but custom agents that incorporate such elements as Shopify API, ERP system, customers' data, workflow, dashboard, and even AI itself might result in rather large software development project.

Use the app if the functionality you need is common and there is a well-established product that takes care of it. Think about custom development if the process flow is specific to your company, integrates with several systems, uses proprietary information, needs unusual access rights, or may give you a competitive advantage.

AI visibility may be achieved through making available structured, useful, and indexed information about products, categories, policies, knowledge, the organization itself, and many others. This includes, but is not limited to, such things as structured product information, accurate prices and availability, technical specifications, FAQs, reviews, and third party information.

Review their knowledge on the use of Shopify APIs, apps, integrations, AI models, workflow automation, security, data processing, monitoring, and human verification. Also ask for concrete workflows that they have implemented to confirm their claims on their proficiency with AI systems.

Begin with something repetitive, measurable, and low risk. DIT India recommends starting with practical AI use cases such as customer support classification, weekly sales reporting, product categorization, product content assistance, inventory notifications, or review analysis. Measure time savings, accuracy improvements, and error reduction before using AI for more critical business decisions.

Headless Commerce

Headless Commerce Development in India: When Shopify, BigCommerce, or WooCommerce Is Not Enough

by dit-india

Frequently Asked Questions

A headless solution separates the customer-facing storefront from the ecommerce backend. The frontend uses APIs to access products, carts, customers, and other commerce functions managed by the platform.

Not always. Headless is useful for advanced design, multiple channels, content-heavy experiences, and complex integrations. A traditional store is often cheaper, faster to launch, and easier to maintain.

The cost depends on the frontend design, platform, CMS, catalogue, checkout, integrations, search, regional setup, and support requirements. A discovery phase is usually needed before giving a dependable estimate.

A focused headless storefront may take a few months. Projects involving multiple regions, custom integrations, migration, account features, advanced search, and extensive testing generally require a longer timeline.

Yes, but the process requires careful planning. Product data, checkout, customer accounts, apps, SEO URLs, analytics, content, and integrations must be reviewed before replacing the existing storefront.

It can provide greater control over rendering, caching, and code delivery, but speed is not guaranteed. Performance still depends on frontend quality, API usage, hosting, scripts, images, and monitoring.

Not necessarily. A separate CMS is useful when marketers manage substantial editorial, campaign, or regional content. Stores with limited content may use the commerce platform or a simpler content setup.

Ongoing support usually covers frontend updates, API changes, hosting, monitoring, security, integrations, performance, analytics, testing, and new features. Headless stores need continuous technical ownership.

BigCommerce

BigCommerce Design and Development for B2B Brands in India: Features That Matter Most

by dit-india

Frequently Asked Questions

Yes. BigCommerce can support company accounts, buyer roles, custom pricing, quotes, invoices, bulk ordering, multiple storefronts, and integrations required by wholesalers, manufacturers, and distributors.

BigCommerce B2B Edition extends the platform with business purchasing features such as company accounts, buyer permissions, quote workflows, invoices, order history, and a dedicated buyer portal.

Yes. Pricing can be structured around customer groups, price lists, company agreements, volume, and integrations. The final approach depends on the store plan, catalogue, and source of pricing data.

Yes. B2B workflows can support quote requests, seller responses, negotiated pricing, and conversion into orders. The process should be configured around the company’s existing sales and approval rules.

BigCommerce B2B setups can support purchase-order and invoice-based workflows for approved buyers. Credit terms, limits, and payment status may also need integration with accounting or ERP systems.

Yes. BigCommerce APIs and integration tools can connect the store with ERP, PIM, CRM, accounting, warehouse, and fulfilment systems. Data ownership and synchronization rules should be defined first.

A basic storefront may take several weeks. A larger B2B project involving custom pricing, buyer portals, quotes, data migration, multiple storefronts, and ERP integrations generally requires more time.

A custom theme is useful when standard themes cannot support the required catalogue, ordering workflow, brand design, or account experience. Businesses should customize only where there is a clear need.

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