Retail & E-commerce
Omnichannel retail software that connects every customer touchpoint.
Modern retail success depends on unifying online and offline experiences, automating inventory decisions, and delivering AI-powered personalisation at the moment of purchase. Palsoro builds the commerce platforms, integration middleware, and recommendation engines that turn fragmented retail operations into a single, data-driven system that drives revenue.
What you get
What Retail & E-commerce businesses
get with Palsoro
Unified Commerce Platform
A single data layer connecting your POS, e-commerce storefront, marketplace channels, and warehouse — giving your team one view of inventory, orders, and customer data across every channel.
AI Merchandising & Recommendations
Collaborative filtering and contextual AI models that surface the right product to each shopper at the right moment — driving average order value and repeat purchase rate across digital and in-store touchpoints.
Intelligent Inventory Management
Demand forecasting models that factor in seasonality, promotional events, and supplier lead times to automate reorder decisions, reduce stockouts, and cut excess inventory carrying costs.
Key benefits
Why Retail & E-commerce companies choose Palsoro
Higher Conversion Rates
Personalised product recommendations and dynamic pricing driven by AI increase conversion across web, mobile, and in-store channels.
Reduced Inventory Costs
Automated replenishment and predictive demand planning reduce overstock by 20–35% while maintaining on-shelf availability above 98%.
Faster Fulfilment
Warehouse management automation with pick-path optimisation and carrier selection logic cuts fulfilment time and shipping costs simultaneously.
Omnichannel Loyalty
Points, rewards, and personalised offers that work seamlessly across online and in-store purchases — increasing customer retention and lifetime value.
Real-Time Business Intelligence
Live sales dashboards, margin analysis, and cohort reporting give merchants the data they need to make fast, confident buying and marketing decisions.
Solutions we build for Retail & E-commerce
Headless Commerce Platform
API-first e-commerce architecture decoupling your frontend from backend — enabling faster page speeds, flexible multi-channel storefronts, and rapid feature iteration.
AI Recommendation Engine
Collaborative filtering, content-based, and hybrid recommendation models delivering personalised product discovery across homepage, PDP, cart, and email channels.
Omnichannel Order Management
Centralised OMS with BOPIS, ship-from-store, dropship, and marketplace fulfilment routing — giving customers consistent fulfilment options regardless of purchase channel.
Inventory & Demand Forecasting
ML-based demand signals aggregating POS data, online trends, supplier lead times, and promotional calendars to automate reorder decisions and allocation logic.
POS Integration Middleware
Custom integration layer connecting major POS systems (Lightspeed, Square, NCR) to your e-commerce platform, ERP, and loyalty system in real time.
Loyalty & Retention Platform
Configurable loyalty engine with points, tiers, referrals, personalised offers, and gamification — integrated into checkout, mobile app, and CRM workflows.
Dynamic Pricing Engine
AI-driven pricing models that optimise margin in real time based on competitor pricing, demand signals, inventory levels, and customer segment sensitivity.
Our process
Our approach to Retail & E-commerce development
Commerce Stack Audit
We audit your current platform, integration landscape, and customer data maturity to identify where revenue leaks and operational inefficiencies are costing you most.
Unified Data Model Design
We design a customer and product data model that reconciles your online, offline, and marketplace data into a single source of truth for personalisation and reporting.
A/B Tested Rollout
Every AI feature — from recommendations to dynamic pricing — is released behind A/B experiments with statistical significance requirements before full rollout.
Peak-Ready Launch
Load testing to 10× normal peak, traffic spike auto-scaling configuration, and a dedicated war-room plan for your first major sale or seasonal peak post-launch.
Why Retail & E-commerce businesses trust Palsoro
Commerce-Specific AI Models
We don't adapt generic ML models to retail — we build commerce-specific recommendation, pricing, and forecasting systems trained on retail behavioural data patterns from the ground up.
Integration-First Thinking
Retail operates on a patchwork of ERPs, WMS, POS, and marketplaces. Our integration-first approach means your new platform connects to your existing stack on day one, not as an afterthought.
Peak Traffic Experience
We have built and maintained systems through Black Friday and seasonal peaks. Your platform will be architected for extreme traffic from the start — not patched under pressure.
Yes. We handle full platform migrations including product catalogue, customer data, order history, and SEO URL mapping. We run both platforms in parallel during the transition to eliminate downtime risk.
Collaborative filtering models need a minimum of 30–90 days of transaction data to produce meaningful recommendations. We deploy rule-based personalisation on day one and transition to AI-driven recommendations as data accumulates.
Yes. We build marketplace connector middleware for Amazon, eBay, Etsy, Walmart, and regional platforms — handling listing sync, inventory management, order import, and returns processing in a centralised OMS.
We have built integrations with Lightspeed, Square, NCR Counterpoint, and SAP POS. If your POS system has an API or webhook capability, we can integrate loyalty redemption and earn logic into the checkout flow.