Systems that hold up on the busiest day of the year.
We connect online and store data, build real-time inventory and personalization, and move platforms to cloud setups that scale up for peak traffic and back down after it.
Four problems we hear from retailers
Each one costs sales or margin.
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Inventory counts are not real time
When the site shows stock the shelf does not have, orders get cancelled. We build event-driven inventory feeds from stores, warehouses and marketplaces. What customers see on the site matches what you can ship.
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Personalization feels generic
Recommendations based on thin data look like guesses. We bring customer data into one place and build recommendation models tested against real sales.
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Online and store data do not match
Separate systems give different answers for the same customer or order. We build one customer and order view across channels. Reports agree, and returns and loyalty work in every channel.
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The site slows down at peak and cloud costs keep growing
Platforms sized for the peak waste money the rest of the year. We load test, set up autoscaling and review costs. The platform grows for the peak and shrinks after it.
What we build for retail teams
Six capabilities, each connected to the commerce, store and fulfillment systems you run today.
- Real-time inventory
- Event-driven stock feeds across stores, warehouses and marketplaces.
- Personalization
- Customer data in one place and recommendation models measured against real sales.
- Unified commerce data
- One customer and order view across online, app and store.
- Cloud and DevOps for peak traffic
- Load testing, autoscaling and release pipelines that keep the site fast on the busiest days.
- Order and fulfillment applications
- Applications that remove manual steps from picking, shipping and returns.
- Cloud cost control
- Cost reviews and right-sizing that tie spending to traffic.
Who we work with
The tools are similar. The scope changes with your channels and your scale.
- RetailersStore and online operations on one data foundation.
- Online marketplacesSeller, catalog and order data that scale with traffic.
- Consumer brandsDirect-to-consumer sites, personalization and channel data.
How a retail engagement runs
Four phases, planned around your peak seasons and code freezes.
- 1
Assess
We review your platforms, data flows, peak performance and cloud spending.
- 2
Design
We plan one connected architecture with timeline, team and cost, timed around your peak calendar.
- 3
Build and integrate
We build the data feeds, models, applications and pipelines and connect them to the systems you run.
- 4
Improve
After go-live we monitor, tune and hand over runbooks your teams can own.
Why retailers work with us
Retail systems are judged on the busiest day, so we build for it.
- Built for the peak
- Every delivery includes load testing and a scaling plan, done well before the holidays.
- Built on the systems you already run
- We add to your commerce, store and fulfillment platforms, and replace parts only in planned stages.
- One team for cloud, data and applications
- The engineers who build your cloud setup also build the data feeds and applications on it.
From our founder
Kamlesh Ranka founded Infinity Tech Group in 1999 to connect new technology with measurable business outcomes. He has led its client work for 27 years.
Talk to us about your commerce platform
A 30-minute call with a cloud and data specialist. We will look at your inventory, customer data and peak performance, and you leave with clear next steps.