%20-35
Average Return Rate
High Return Rates
Average e-commerce return rates of %20-35 increase both logistics costs and negatively affect customer experience. This can be significantly reduced with prediction.
Corius develops personalization engines, demand forecasting systems, smart customer service agents, and real-time fraud detection solutions for e-commerce companies. With data-driven decision systems, it increases basket size by an average of %30 and conversion rates by %25 while reducing return rates by %40; we permanently elevate customer lifetime value.
Corius offers the opportunity to work with a team that knows the unique dynamics of the e-commerce sector — campaign periods, high return rates, catalog complexity, and logistics integrations — closely. It provides value early with fast pilot processes, integrates with your existing infrastructure, and measurable ROI targets are defined together before starting each project.
Let's Discuss Your E-commerce StrategyYou work with a team that knows the unique dynamics of e-commerce operations (campaign periods, return rates, catalog size, logistics integrations).
We produce solutions that integrate with Ticimax, İdeasoft, Shopify, WooCommerce or your custom software. You don't need to switch your system from scratch.
Before starting each project, we define success metrics and expected ROI ranges together. If results cannot be measured, the project is not considered successful.
Average e-commerce return rates of %20-35 increase both logistics costs and negatively affect customer experience. This can be significantly reduced with prediction.
It's no longer possible to manage the balance between excessive inventory costs and stockout risks with manual processes. Demand fluctuations are missing sales opportunities.
Offering the same recommendations to all customers reduces purchase rates and basket size. Unsegmented communication causes advertising budget waste.
Manual payment verification and fake order control both create operational load and disrupt real customer experience.
Customer service costs multiply as order volume increases. It's not sustainable to rely on human resources to answer routine questions.
Data from different systems (ERP, CRM, ad platforms) cannot be consolidated. There's no single source of truth to support real-time decision making.
Each solution produces measurable results by integrating with your platform's existing infrastructure.
Corius's personalization engine offers unique product recommendations to each customer by processing user behavior, purchase history, and real-time browsing data. It provides consistent personalization across homepage, product detail, cart, and email channels.
Our machine learning-based demand forecasting model calculates stock needs at SKU level in advance by combining seasonal trends, campaign schedules, weather data, and competition data. It integrates with your ERP or e-commerce infrastructure via API.
Our e-commerce-specific AI customer service agent answers high-volume routine requests such as order status, return request, package tracking, and product question without human intervention. It directs complex issues to the right representative.
Our anomaly detection model deployed at the moment of payment processing marks risky transactions within milliseconds by combining historical transaction patterns, device fingerprints, and behavioral biometric data. It works without creating friction for real customers.
Our model that predicts return probability before purchase combines factors such as product description quality, photo deficiencies, size mismatch risk, and customer profile to automatically trigger preventive interventions.
Do you have a different e-commerce problem?
We also develop custom solutions for your needs not on the list.
DESCRIBE YOUR NEEDContact us today for a free preliminary analysis meeting.
Kızılırmak Mah. Dumlupınar Bulvarı Next Level No:3 A Kat:4 D.No:10 PK:06520 Çankaya / Ankara - Türkiye
