RETAIL & E-COMMERCE SOFTWARE DEVELOPMENTConnect catalog, inventory and orders before adding another commerce feature.

We build storefront experiences and the operations software behind them, connecting your commerce platform, ERP, warehouse and support tools so stock, orders and returns tell the same story everywhere.

Retail brands, omnichannel merchants and commerce operations teams

See How We Scope Projects
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
Warehouse associate scanning an order for shipment — THE TISA

THE OPERATIONAL GAP

Where commerce and fulfillment stop agreeing.

Customers notice when systems disagree: oversold items, wrong delivery dates, refunds that take weeks. These are the root causes we look for.

Inventory counts diverge across stores and channels

01

Store, warehouse and marketplace stock sync on different schedules, so items sell out online while stock sits elsewhere, or oversell during promotions.

Product data is incomplete or inconsistent

02

Attributes, sizes and images are maintained separately per channel, causing listing rejections, poor search results and avoidable returns.

Returns and fulfillment exceptions span disconnected tools

03

Split shipments, partial refunds and exchanges are handled across the storefront, warehouse system and helpdesk with no single status.

Support agents lack order context

04

Agents switch between three or four tools to answer 'where is my order?', and still can't see warehouse or carrier exceptions.

Inventory counts diverge across stores and channels

01

Store, warehouse and marketplace stock sync on different schedules, so items sell out online while stock sits elsewhere, or oversell during promotions.

Product data is incomplete or inconsistent

02

Attributes, sizes and images are maintained separately per channel, causing listing rejections, poor search results and avoidable returns.

Returns and fulfillment exceptions span disconnected tools

03

Split shipments, partial refunds and exchanges are handled across the storefront, warehouse system and helpdesk with no single status.

Support agents lack order context

04

Agents switch between three or four tools to answer 'where is my order?', and still can't see warehouse or carrier exceptions.

WHAT WE BUILD

Commerce and retail software we build.

We extend proven commerce platforms rather than replacing them, and build custom software where your operations differ.

01

Headless commerce storefronts

Fast, custom front ends on Shopify, BigCommerce, commercetools or similar, keeping the platform's checkout and payments.

02

Inventory and order operations portals

A single view of available-to-sell stock and order status across locations, with allocation rules your team can adjust.

03

Product information management tools

Centralized product data, attribute validation and channel-specific publishing, with AI-assisted enrichment reviewed by merchandisers.

04

Returns and customer service workflows

Self-service returns, exchange logic, refund approvals and order context surfaced inside your helpdesk.

01

Headless commerce storefronts

Fast, custom front ends on Shopify, BigCommerce, commercetools or similar, keeping the platform's checkout and payments.

02

Inventory and order operations portals

A single view of available-to-sell stock and order status across locations, with allocation rules your team can adjust.

03

Product information management tools

Centralized product data, attribute validation and channel-specific publishing, with AI-assisted enrichment reviewed by merchandisers.

04

Returns and customer service workflows

Self-service returns, exchange logic, refund approvals and order context surfaced inside your helpdesk.

WORKFLOW EXAMPLE

From order placed to customer updated.

An example order flow. Allocation rules, carriers and exception thresholds are set with your operations team.

  1. Order placed

    InputStorefront, marketplace or in-store order

    OutputValidated order with payment authorization and channel source

    01
  2. Stock reserved at the right location

    InputValidated order and live availability

    OutputInventory reservation by location using your allocation rules

    02
  3. Fulfillment instruction sent

    InputReserved order lines

    OutputPick request to warehouse, 3PL or store with an idempotency key

    03
  4. Shipment and exception events tracked

    InputWarehouse and carrier events

    OutputShipped, split, delayed or short-picked status; exceptions queued for staff

    Review required

    04
  5. Customer and operations status updated

    InputFinal fulfillment status

    OutputCustomer notifications, support view and synced inventory

    05

SYSTEM DESIGN

The architecture behind the workflow.

A reference design that keeps your commerce platform as the checkout of record and adds reliable event flow around it.

  1. Storefront and commerce platform APIs
  2. Catalog and inventory service
  3. OMS, ERP or warehouse connectors
  4. Event queue and exception handling
  5. Customer and support interfaces
  6. Shipment and exception events tracked
  7. Storefront and commerce platform APIs to Catalog and inventory service
  8. Catalog and inventory service to OMS, ERP or warehouse connectors
  9. OMS, ERP or warehouse connectors to Event queue and exception handling
  10. Event queue and exception handling to Customer and support interfaces
  11. Event queue and exception handling to Shipment and exception events tracked
  12. Shipment and exception events tracked to Customer and support interfaces

Storefront and commerce platform APIs -> Catalog and inventory service -> OMS, ERP or warehouse connectors -> Event queue and exception handling -> Customer and support interfaces

  • 01

    Storefront and commerce platform APIs

    Handle browsing, cart and checkout and emit order events.

  • 02

    Catalog and inventory service

    Maintains product data and available-to-sell stock by location, combining warehouse, store and in-transit counts.

  • 03

    OMS, ERP or warehouse connectors

    Send fulfillment instructions and receive pick, pack and ship events from your existing systems or 3PL.

  • 04

    Event queue and exception handling

    Processes events reliably with retries and de-duplication and routes stock or fulfillment exceptions to owners.

  • 05

    Customer and support interfaces

    Show accurate order status to shoppers and give agents full order context in the helpdesk.

Technology

Chosen for the systems above.

These tools are already in published projects with a similar shape of work. The set for your release is confirmed once the interfaces and review points are known.

  • Shopify / BigCommerce / commercetools APIs
  • Headless front ends (Next.js)
  • Event queues
  • EDI with 3PLs
  • Payment provider tokenization
  • Frontend

    React
    Bootstrap
    Redux
    Next.js
    React
    Bootstrap
    Redux
    Next.js
  • Backend

    Node.js
    Express.js
    Node.js
    Express.js
  • Database

    MySQL
    MySQL
  • Communication

    Twilio
    Twilio

DESIGN TRADE-OFFS

Decisions that change cost, reliability and scope.

Each of these is a trade between speed of delivery, operating cost and the risk of disappointing customers.

Event-driven stock updates versus periodic sync

Event-driven updates cut oversell risk during drops and promotions; periodic sync is simpler and fine for slow-moving catalogs. Safety stock rules can bridge the gap.

Review historical oversell and cancellation rates by product type.

AI recommendations versus rules-based merchandising

Recommendation models need enough traffic and clean product data to beat simple rules such as bestsellers and complementary items. Many catalogs should start with rules.

Test against your traffic volume and catalog completeness.

Replace the commerce platform versus extend it

Replatforming is expensive and risks checkout conversion. Extending with headless front ends, apps and middleware usually delivers faster with less risk.

Audit which current limitations are platform constraints versus configuration.

Event-driven stock updates versus periodic sync

Event-driven updates cut oversell risk during drops and promotions; periodic sync is simpler and fine for slow-moving catalogs. Safety stock rules can bridge the gap.

Review historical oversell and cancellation rates by product type.

AI recommendations versus rules-based merchandising

Recommendation models need enough traffic and clean product data to beat simple rules such as bestsellers and complementary items. Many catalogs should start with rules.

Test against your traffic volume and catalog completeness.

Replace the commerce platform versus extend it

Replatforming is expensive and risks checkout conversion. Extending with headless front ends, apps and middleware usually delivers faster with less risk.

Audit which current limitations are platform constraints versus configuration.

SECURITY & COMPLIANCE

Controls appropriate to retail and e-commerce.

We keep sensitive payment data out of your systems wherever possible and design for peak-season failure modes.

The FTC's rule on consumer reviews and testimonials prohibits fake and certain incentivized reviews. PCI DSS scope depends on how card data flows through your systems and providers.

  • Payment data boundaries and tokenization

    Card data stays with your payment provider through hosted fields or tokenization, keeping your custom systems out of PCI DSS cardholder data scope where possible.

  • Order and return fraud checks

    Velocity limits, address and refund-pattern checks flag suspicious orders and returns for review rather than auto-approving them.

  • Idempotent fulfillment events

    Every fulfillment and refund message carries a unique key so retries during outages never ship or refund twice.

  • Authentic reviews and recommendations

    Review displays and recommendation logic avoid fabricated or incentivized reviews and disclose sponsored placements.

PCI DSS v4.0 (scope reduction)NIST Cybersecurity Framework 2.0WCAG 2.2 AA for storefront accessibility
PCI DSS v4.0 (scope reduction)NIST Cybersecurity Framework 2.0WCAG 2.2 AA for storefront accessibility

DELIVERY APPROACH

From real system constraints to a verifiable release.

We plan releases around your trading calendar so nothing risky lands before peak season.

  1. 01

    Map channels and inventory ownership

    Document every sales channel, stock location and which system owns each number.

    Signed channel, location and system-of-record map.

  2. 02

    Validate product and stock identifiers

    Reconcile SKUs, variants and location codes across platform, ERP and warehouse.

    Identifier mapping with mismatches resolved or listed for cleanup.

  3. 03

    Connect storefront and order systems

    Deliver one channel's order-to-fulfillment flow end to end.

    Working flow processing test orders through to shipment events.

  4. 04

    Test peak loads and partial fulfillment

    Load-test promotions and simulate split shipments, short picks and outages.

    Load and failure test results against agreed peak traffic targets.

  5. 05

    Release with stock discrepancy monitoring

    Go live outside peak periods with monitoring of stock drift and failed events.

    Monitoring, alerting and rollback plan signed off, with release scheduled away from peak.

PROJECT PLANNING

What we need to define before development begins.

These answers determine whether you need a storefront project, an integration project or both.

  1. 01

    Which commerce platform, ERP, warehouse system and 3PLs do you use?

  2. 02

    Which system owns stock levels for each location?

  3. 03

    How do you handle split shipments, backorders and buy-online-pickup-in-store?

  4. 04

    What are your peak trading periods and release freeze dates?

  5. 05

    Which measure matters most: conversion, oversell rate, fulfillment time or return cost?

Commerce platform and app permissions

ERP/WMS API or file access

3PL integration specs

Trading calendar and freeze windows

Commerce platform and app permissions

ERP/WMS API or file access

3PL integration specs

Trading calendar and freeze windows

Retail and e-commerce development FAQs.

Yes. We use each platform's APIs and webhooks, such as Shopify's Admin API, and your ERP or 3PL's interfaces, with a middleware layer that handles retries, mapping and rate limits so orders and stock stay in sync.

We calculate available-to-sell stock from a single service, update it on events rather than slow batch syncs where risk is high, reserve stock at order time and apply safety buffers for fast-moving items. Drift between systems is monitored and alerted.

Yes, as a drafting tool. We generate attributes and descriptions from your source data, check them against required fields and brand rules, and route them to merchandisers for approval before publishing, so claims stay accurate.

Start with eligibility checks, return label generation and status updates to the customer. Refund approval for high-value or unusual returns should stay with staff, supported by fraud signals.

Only if your current theme limits conversion, content or performance in ways that matter commercially. Headless adds front-end ownership costs, so we compare it with platform-native options first.

You own the application and the orders, inventory, and customer records it stores. Commerce platforms and carriers remain under your vendor accounts. We record which system is allowed to change stock or price.

Yes. The first release connects the systems you already use and defines which one wins when stock or order status disagrees, instead of forcing a single new platform.

A price or promotion change is a recorded action with an owner. It is not applied to the live catalog until the system of record accepts it, so the website and the warehouse do not diverge silently.

One channel, one inventory source, and one exception a person can resolve, such as an oversell or a return that does not match the order. Further channels wait until that path is reliable.

Have a commerce or retail operations problem to solve?

Tell us your platforms, channels and where stock or orders go wrong. We'll propose a first release scheduled around your trading calendar.

Tell us how the work runs today, which systems already hold the data, and what a useful first release would change. We use that to judge scope before anyone writes a proposal.

The form goes to a solutions architect at THE TISA. You get a direct reply on fit, approach, and what we would need from your team.

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