Global business process outsourcing solutions to accelerate innovation and optimize workflows.
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Invensis employs rigorous quality control measures and leverages advanced technologies to ensure data accuracy across all its BPO services. For product data entry, a multi-step process includes gathering details, organizing categories, optimizing media, data entry, and a final quality check to eliminate errors before publication. The company also holds ISO 9001:2015 & 27001:2022 certifications and is GDPR-compliant, indicating adherence to high standards for data management and security.
Yes, Invensis's eCommerce product data entry services are designed to be compatible with leading eCommerce platforms. They utilize modern tools and are proficient in entering data into systems according to client or platform-specific formats and guidelines, which includes platforms like Magento and Shopify.
Invensis utilizes proven outsourcing models that factor in key aspects such as the scope of the project, core project requirements, milestones, and deadlines. These models are designed to guarantee accelerated speed-to-market, fulfilled customer expectations, enhanced revenue, and smooth adjustments to changing needs, ensuring a customized approach for each client.
Beyond basic data entry, Invensis offers comprehensive product data management services including product data conversion, cleansing, formatting, and classification. These services are designed to improve catalog management efficiency by accurately organizing product information, tracking inventory levels, and facilitating real-time updates, which helps in managing a broader and deeper range of products effectively.
Invensis transitioned from a BPO to a Business Process Transformation (BPT) leader in 2020. This signifies a shift towards not just outsourcing tasks, but actively re-engineering and optimizing client processes using technology and strategic insights to drive significant improvements in efficiency, innovation, and overall business outcomes, rather than simply handling existing processes.
Source: invensis.net