Retail has never been more complex—or more full of opportunity. The lines between physical and digital have permanently dissolved, customer expectations for personalization and convenience are at an all-time high, and the rise of D2C and marketplace models has changed who controls the customer relationship. Winning in this environment requires more than a good product—it requires technology that unifies every touchpoint, learns from every interaction, and scales without friction. We’ve helped 300+ retail and commerce organizations build that capability, generating billions in attributable GMV along the way.
Retail & E-Commerce
Unify commerce experiences across every channel, accelerate D2C growth, and build marketplace platforms that scale. From inventory intelligence to personalized shopping journeys, we help retailers and e-commerce brands compete in a world where customer expectations never stop rising.
35%
Average Revenue Lift
4.8/5
Shopper Experience Score
50%
Faster Order Fulfillment
300+
Retail & Commerce Clients
The Retail & E-Commerce Landscape
Key Challenges
Critical problem points that are often encountered
Fragmented Omnichannel Experience
Shoppers move fluidly between mobile apps, web storefronts, physical stores, and social commerce—but most retailers have siloed systems for each channel. Inventory discrepancies, inconsistent pricing, and disjointed loyalty programs erode customer trust and drive abandonment.
Inventory & Supply Chain Visibility
Without real-time inventory intelligence across warehouses, stores, and third-party logistics providers, retailers face stockouts on bestsellers and overstock on slow movers simultaneously. Inaccurate inventory data costs the industry over $1.1 trillion annually in lost sales and carrying costs.
Rising Customer Acquisition Costs
CPM and CPC costs have risen 60%+ over five years while platform algorithms constantly shift. D2C brands and marketplace sellers struggle to maintain profitable unit economics as paid acquisition becomes less reliable and first-party data strategies become essential for survival.
Marketplace Complexity & Seller Management
Running a marketplace requires managing thousands of sellers, preventing policy violations, handling returns, and ensuring consistent quality—all while competing with your own sellers on price. Most platforms lack the tooling to do this profitably at scale.
Our Solutions
How we provide solutions for your industry challenges
Unified Commerce Platform
Single commerce engine connects POS, e-commerce, mobile, social, and marketplace channels to a real-time unified order management system. Inventory, pricing, promotions, and customer profiles stay perfectly synchronized—enabling buy online/pick up in store, endless aisle, and ship-from-store with zero manual reconciliation.
AI Personalization & Merchandising Engine
Machine learning models analyze browse history, purchase patterns, and contextual signals to deliver individualized product recommendations, dynamic pricing, and personalized search ranking. Proven to increase average order value by 28% and reduce returns by 15% through better product-customer matching.
Real-Time Inventory Intelligence
Unified inventory layer aggregates stock positions across all locations in real-time, with AI-powered demand forecasting to optimize replenishment. Automated allocation rules ensure the right inventory is in the right place before customers feel a stockout—not after.
D2C Growth & Marketplace Infrastructure
Full-stack marketplace technology for brands building owned channels and platform operators managing seller ecosystems. Includes seller onboarding, catalog management, order routing, split payments, review management, and ML-based fraud prevention—all API-first for custom storefronts.
Gallery Overview
Compliance & Regulations
Stay compliant with the latest industry regulations and standards.
PCI DSS Level 1
SOC 2 Type II
GDPR & CCPA Ready
3DS2 & SCA Compliant
Technologies We Use
Our toolkit for delivering cutting-edge solutions across industries
Retail & E-Commerce Benefits
Measurable outcomes that directly impact your bottom line and competitive position.
35% Revenue Increase
AI-powered personalization, optimized checkout flows, and unified inventory availability consistently lift conversion rates and average order values across all channels.
50% Faster Fulfillment
Intelligent order routing directs each order to the optimal fulfillment node, cutting average ship time and reducing split shipments by 40%.
60% Lower CAC
First-party data platforms and loyalty mechanics reduce dependence on paid channels, improving customer lifetime value and making unit economics profitable again.
25% Higher Retention
Personalized post-purchase journeys, proactive service alerts, and predictive replenishment nudges keep customers coming back without discount-driven promotions.
Ready to Start?
Get a free consultation and get a solution that suits your industry.
Response within 24 hours
No long-term commitment required
Real-World Use Cases
Explore how we've helped clients across various industries achieve transformative results with our solutions.
Omnichannel Unification for National Specialty Retailer
National Specialty Retailer - 450 Stores
The Scenario:
450-store specialty retailer had separate e-commerce and store inventory systems that couldn't talk to each other. Buy online/pick up in store had a 34% failure rate due to inventory inaccuracies. Online showed items as available that stores hadn't stocked in months, generating 12,000 monthly customer complaints.
The Implementation:
Implemented unified order management system with real-time inventory sync across all 450 stores and 3 distribution centers. Safety stock buffers and reservation logic prevent overselling. Store associates receive pick notifications within 2 minutes of online order placement. Integrated with POS for seamless in-store pickup and returns.
The Results:
99.1%
BOPIS fulfillment rate
89%
Drop in inventory complaints
22%
Increase in basket size on pickup orders
8 weeks
Implementation timeline
AI Personalization for Fashion E-Commerce
D2C Fashion Brand - $180M Revenue
The Scenario:
Fashion e-commerce brand with 2.1M SKUs and 800,000 monthly active shoppers. Homepage and search were not personalized—every customer saw the same content. Cart abandonment at 78%, repeat purchase rate at 18%, and email CTR declining month-over-month.
The Implementation:
Deployed real-time personalization engine processing 400+ behavioral signals per session. Individualized homepage, search results, email content blocks, and product recommendation carousels. A/B tested against control group over 8 weeks before full rollout. Integrated with email and SMS platforms for cross-channel consistency.
The Results:
31%
Conversion rate increase
28%
Higher average order value
44%
Repeat purchase rate
3.2x
Email revenue per send
Marketplace Platform for Home Goods Brand
Home Goods Brand - Marketplace Launch
The Scenario:
Established home goods brand with $400M in wholesale revenue wanted to launch a third-party marketplace to expand product catalog beyond its own SKUs. Lacked the technology to onboard sellers, manage catalogs, handle split-payment settlements, and prevent counterfeit listings.
The Implementation:
Built end-to-end marketplace platform with self-service seller portal, automated catalog ingestion, ML-based listing quality scoring, and split-payment settlement engine. Launched with 120 curated sellers in 4 months. Integrated brand protection tools using image recognition to flag counterfeit listings before they go live.
The Results:
120
Sellers onboarded at launch
18,000
New SKUs added in 90 days
4 months
Time to marketplace launch
$12M
GMV in first year
Demand Forecasting & Inventory Optimization
Multi-Brand E-Commerce Group
The Scenario:
E-commerce group managing 8 brands and $650M in annual GMV was carrying $95M in excess inventory while simultaneously experiencing 14% stockout rate on top-selling SKUs. Buyers relied on gut instinct and spreadsheets. Peak season forecasting was consistently off by 30%+.
The Implementation:
Deployed ML-based demand forecasting engine trained on 4 years of sales data, factoring in seasonality, promotions, weather, and macroeconomic signals. Automated replenishment recommendations integrated directly into procurement workflows. Excess inventory liquidation recommendations surfaced weekly with projected margin impact.
The Results:
41%
Reduction in excess inventory
6%
Stockout rate (from 14%)
$28M
Inventory capital freed
94%
Forecast accuracy at 8-week horizon
Retail & E-Commerce FAQs
Common questions about omnichannel commerce, D2C growth, and marketplace technology.