We apply AI to content, products and marketing processes, drawing on VNG Digital Group's strategic experience.
We design applications that respect your brand, use accurate data and fit your wider commercial strategy. Human editorial review remains part of the process.
A product catalogue moves through data validation, description drafting and SEO rules. Drafts are reviewed before going live in the store. The wider SEO programme continues alongside this work.
Content quality, catalogue coverage and reduced editorial effort.
In marketing and ecommerce, AI's usefulness depends on information quality, brand strategy and editorial review. We combine these with VNG Digital Group's experience to address specific content and communication needs.
We establish what the catalogue contains, which fields are missing and which need confirmation. We define description structures and tone by category. AI prepares drafts that are checked for specifications, clarity and consistency before publication.
AI can help gather information, organise messages and draft alternative copy. Strategy, creative selection and approval remain clearly assigned team responsibilities. Every text serves a specific audience and purpose.
A finished article or company announcement can provide the source for drafts in different formats. We define what stays, what changes and what needs rechecking so the content fits each channel.
Each collaboration is built around your specific task. These phases help establish expectations, deliverables and responsibilities before we move forward.
We discuss the goal, examine the current process and define the scope. We document sources, tools, owners and constraints. Before implementation, you know what will be examined, what will be delivered and what your team needs to provide.
We organise the necessary information and design the application's workflow. We define quality checks, approval levels and how to handle missing information. The rules must be understandable and consistently applicable.
We test an agreed set of cases. Alongside typical examples, we examine ambiguous requests, incomplete data and exceptions. We record what works, what needs improvement and where human intervention is required.
We compare the result with the agreed criteria. We deliver the planned materials and explain how to use them. Your team understands the necessary checks and how to report problems.
Where ongoing collaboration is agreed, we monitor operations and adapt the application as needs change. Expansion depends on test results and support capacity, rather than the volume of work alone.
For the first conversation, simply describe your need. The required information and access are identified once the scope is defined.
It can help prepare substantial volumes when the data and rules are suitable. Before scaling, we test across different categories. Final quality also depends on review before publication.
Content production addresses only part of the work. Technical performance, category structure, internal linking and page usefulness must be examined alongside it. Changing tools alone does not guarantee better results.
We use approved information and define rules for missing data. Certifications, compatibility and properties are not filled in through assumptions. Fields requiring clarification are flagged, and the final text is checked before publication.
The structure can be shared, but each product needs its own useful information. Templates are designed around categories and audiences. If the source data is too limited, we improve it first rather than manufacture differences.
Yes, to prepare ideas and drafts from approved material. We define the audience, message, tone and constraints of each channel. Final creative selection and accuracy checks remain part of the process.
An AI application may improve processes and information quality. Sales also depend on products, pricing, demand, user experience and promotion. We define suitable criteria for each application without promising a commercial outcome from AI alone.
We select representative products and categories for a pilot. We assess acceptable outputs, exceptions and editorial effort, then design the scaled process and review queues.
DIGITALNOW focuses on AI applications. Through VNG Digital Group's experience and services, the work can fit within a wider marketing programme. The scope of each service is agreed separately.
Tell us which task you want to improve. We will discuss the possibilities, data and boundaries before recommending a solution.
Talk to DIGITALNOW ✳