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Retail & E-Commerce

Retail & E-Commerce

Omnichannel platforms, AI personalisation, and supply chain intelligence, built to survive mega sales and delight customers year-round.

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0
Downtime in 12 Mega Sales
10x
Peak Traffic Handled
+18%
Conversion Uplift
<1s
Page Load at Peak
USE CASE SCENARIOS

Real problems. Real deployments.

Each scenario follows the same arc: the challenge as the customer lived it, the solution as we built it, and the outcome as they measured it.

01

Surviving the Mega Sale

CTO, Regional E-Commerce Platform

The Challenge
Every 11.11 and 12.12, traffic spiked 10x within minutes of midnight, and every year something buckled: checkout queues, payment timeouts, or a full-site outage right as ad spend peaked.
The Solution
NetScaler intelligent load balancing with surge protection: predictive auto-scaling triggered by traffic patterns, queue management that keeps checkout responsive, and instant failover across regions.
The Outcome
Midnight came, traffic spiked 10x, and the war room had nothing to do.
Zero downtime across 12 consecutive mega sales events
Built WithNetScaler ADCAuto-ScalingHybrid Multi-Cloud
02

Third-Party POS Compromise Blocked

Head of Security, Retail Chain

The Challenge
A supplier's credentials were phished and used to access the POS management network. The login was 'valid', right credentials, right systems, and legacy tools waved it through.
The Solution
LUCAS scored the session critical instantly: geo-impossible login (the vendor was in Manila, the session from Eastern Europe), off-hours access, and first-ever touch of payment segments.
The Outcome
The attack died at the perimeter of the POS network. Card data was never reached.
Attack stopped before any POS compromise
Built WithLUCAS UEBAVendor RiskNetwork Segmentation
03

Personalisation Without Data Leakage

Chief Digital Officer, Omnichannel Retailer

The Challenge
The personalisation engine needed shopper behaviour data to work, but marketing wanted to feed it into external AI tools, and legal saw customer PII heading to third-party clouds.
The Solution
The Data & AI Platform brought the models to the data instead: in-house recommendation engines trained on first-party data that never left the retailer's environment, with governance built in.
The Outcome
Marketing got their conversion lift. Legal got their data boundary. Customers got relevance without exposure.
Conversion up 18% · zero PII sent to external AI
Built WithData & AI PlatformRecommendation AIFirst-Party Data
04

Store + Online, One Inventory Truth

VP Operations, Fashion Retailer

The Challenge
Online showed items in stock that stores had sold hours ago. Click-and-collect orders failed 12% of the time, each failure a refund, an apology voucher, and often a lost customer.
The Solution
Hybrid cloud integration unified store POS, warehouse WMS, and e-commerce inventory into a single real-time stock position, with edge caching keeping store systems fast even on poor connectivity.
The Outcome
Click-and-collect became the highest-NPS channel instead of the complaint generator.
Order failure rate: 12% → 0.4%
Built WithHybrid Multi-CloudReal-Time InventoryEdge Computing

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THE PLATFORMS BEHIND THESE STORIES

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AI Gateway & NetScaler

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Data & AI Platform

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Hybrid Multi-Cloud

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