Ecommerce Catalog Management Services: Sell-Ready Product Data
We map supplier feeds, enrich product data and check it before launch, so every sales channel shows the right product, pack size and price.
Discuss your catalog- 4.9/5 on Clutch
- 431+ projects delivered
- 14 years on the market
Trusted by
Partner of
- Adobe
- Shopware
- BigCommerce
- Shopify Plus
- Emporix
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4.9/5
Overall review rating by Clutch
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431+
Successfully delivered projects
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3.5 yrs+
Avg engagement duration
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14 yrs
On the market
The problem we solve
When product data is messy, your team fixes it by hand, and every channel shows it differently.
Products are slow to go live
Supplier files arrive in different formats, and your team reformats spreadsheets by hand before anything can be published.
Channels reject your listings
Google Shopping and marketplaces flag missing attributes or mismatched prices, so products drop out of ads and search.
Wrong details cause returns
A wrong pack size, variant or price on one channel means confused shoppers, extra support tickets and returned orders.
Catalog management
use cases
Catalog management pays off fastest when product data is spread across suppliers, channels and spreadsheets, and errors reach customers.
Typical situations where it delivers the most value:
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Many suppliers, many formats
Retailers and distributors receive product data from many suppliers, each in its own format, and reformat it before every upload.
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Selling on several channels
Brands publish the same products to their own store, marketplaces and Google Shopping, and each channel rejects different fields.
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Large or complex catalogs
Deep assortments with variants, pack sizes, units and technical attributes make manual updates slow and errors easy.
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Frequent product launches
New collections or seasonal ranges must go live on a fixed date, with complete data, images and categories.
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Platform migration
A move to a new ecommerce platform is the right moment to clean, normalize and categorize product data first.
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Several languages or stores
Product content has to stay consistent across languages, regions and store views without copying every edit by hand.
Trusted in our clients’ own words
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5.0
What is most impressive is that they operate as a true strategic partner, not just a vendor.
The impact on our business has been transformative... Their proactive, forward-thinking approach is unique. They are constantly three steps ahead, bringing new ideas for our roadmap and pushing us to innovate in areas like customer journey, operations, and scalability.
Read full review -
5.0
They are truly excellent in all aspects, and it’s a pleasure working with them.
They really care for the business and delivering great outcomes for us - they work work, diligently and strive for quality… Really experienced and right attitude of people: highly-skilled, intelligent, passionate about their work. Internal processes are excellent: well-organised, clear, repeatable.
Read full review -
5.0
We especially liked their level of professionalism and attention to detail.
Dinarys effectively addressed all aspects of the project. The team’s ability to adhere to the agreed schedule was exemplary. Dinarys is very flexible and responds quickly to dynamically changing requests. All our expectations were met.
Read full review -
5.0
Dinarys GmbH consistently meets our expectations and delivers high-quality work throughout the project.
They consistently prioritized our needs and vision. They were quick to adjust strategies when needed. They prioritized delivering high-quality work rather than rushing to meet quotas. Their team showed deep knowledge and skills in mobile app development.
Read full review -
5.0
Their ability to communicate effectively while maintaining a positive attitude made the entire process smooth.
Dinarys brought extensive technical expertise to the table, consistently delivering solutions that met our needs with precision and innovation. One of the most unique aspects of working with Dinarys was the excellent "chemistry" between our team and theirs. This synergy made it easy to tackle challenges and move the project forward with confidence.
Read full review -
Read our reviews on Clutch
Compliance and partner status
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GDPR compliant
See our privacy policy -
HIPAA compliant
See our healthcare work -
Adobe Certified Solution Partner
As stated on our Clutch profile -
Shopware Certified Solution Partner
As stated on our Clutch profile -
Certified BigCommerce Partner
As stated on our Clutch profile
Agentic SDLC
AI-powered catalog management
AI pulls attributes from supplier sheets and images, drafts descriptions in every language and flags gaps before a product goes live. Your editors approve every change.
Agents at every stage, engineers steering
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Plan
Agents draft specs, user stories and acceptance criteria from your tickets, docs and code. Engineers sharpen them with you.
- Claude Code
- OpenAI Codex
- MCP
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Audit and estimate
Agents map your codebase, dependencies and risky modules before we quote, so estimates rest on facts.
- Claude Code
- Cursor
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Build
Coding agents work in your repository with project rules and context. Engineers steer and own the design.
- Claude Code
- Cursor
- GitHub Copilot
- OpenAI Codex
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Test
Agents write unit and end-to-end tests with every change, so testing stops being the bottleneck.
- Playwright
- PHPUnit
- Pest
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Review and secure
Every pull request gets an AI review and a security scan. A senior engineer approves before merge.
- CodeRabbit
- Semgrep
- Snyk
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Ship and operate
Quality gates run in CI on every change. Agents help trace incidents from logs and alerts.
- GitHub Actions
- Sentry
- Langfuse
Agents take the heavy lifting. Senior engineers set direction, review every change and own what ships.
AI platform stack
What we use to build agents and AI features into stores, portals and back-office tools.
- Models
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- Anthropic Claude
- OpenAI GPT
- Open-weight models
- Agent frameworks
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- LangGraph
- OpenAI Agents SDK
- Claude Agent SDK
- Model Context Protocol
- Retrieval (RAG)
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- pgvector
- Qdrant
- Elasticsearch
- OpenSearch
- Enterprise AI cloud
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- Amazon Bedrock
- Azure OpenAI
- Evals and guardrails
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- Langfuse
- Promptfoo
- Evals in CI
- In commerce
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- Semantic search
- Recommendations
- Product content
- Support agents
- Demand forecasting
Engineering stack
The platforms and tools under every project.
- Commerce and PIM
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- Adobe Commerce (Magento)
- Shopify Plus
- BigCommerce
- Shopware
- Spryker
- Salesforce Commerce Cloud
- commercetools
- Pimcore
- Languages
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- PHP
- TypeScript
- Python
- Kotlin
- Swift
- Frameworks
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- Laravel
- Symfony
- Node.js
- React
- Next.js
- Vue
- Data
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- PostgreSQL
- MySQL
- MongoDB
- Redis
- Elasticsearch
- Kafka
- RabbitMQ
- Cloud and DevOps
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- AWS
- Google Cloud
- Azure
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- GitLab CI
- Bitbucket Pipelines
- Monitoring
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- Grafana
- Prometheus
- ELK Stack
- Sentry
What our catalog management services include
We serve manufacturers, D2C brands, retailers and distributors. Not sure where products get stuck? Read why new products wait.
Supplier feed mapping
We map each supplier feed to your attributes, so new files import cleanly without manual reformatting.
Product data enrichment
We complete specs, dimensions and descriptions from verified supplier facts, so shoppers can compare and buy with confidence.
Tagging and categorization
Products get consistent categories and filter tags from your taxonomy, so customers find them in search and menus.
Google Shopping and marketplace feeds
We prepare feeds to each channel’s current rules and check that price and availability match your store.
Product content syndication
Approved content goes to each channel in its required format; we track what is accepted or rejected.
PIM, DAM and data entry support
Need a new system or more hands? We also offer PIM implementation, DAM consulting and ecommerce data entry.
How we start
We prove the approach on one product family before scaling it to your whole catalog.
1. Pick one supplier feed
Share one supplier feed, messy records included, and tell us which channels you sell on.
2. Set rules for one family
We map, clean and enrich one representative product family for one channel, including its tricky exceptions.
3. Agree what blocks publishing
Wrong product, variant, pack size or price stops a listing; minor wording fixes follow your editorial rules.
4. Measure, then scale
We compare time to publish and manual fixes against your current baseline, then roll out to more families.
Catalog management case studies
BigCommerce Theme Design and Catalog Update
Challenge
An office supplies wholesaler needed data for over 137,000 products updated, but source names, SKUs and data types were inconsistent.
What we did
We normalized the data with scripts, updated names, SKUs and images, and categorized products with AI assistance.
Result
Clear categorization and updated product listings led to a 20% increase in conversion rate.
Prostor
Challenge
A 427-store drugstore chain had to move 50,000 SKUs to Magento 2 while keeping stock accurate online and in stores.
What we did
We built custom migration tooling, kept real-time inventory sync running and added a validation layer to the ERP sync.
Result
50,000 SKUs migrated with near-zero downtime, and store staff now see the same stock as online shoppers.
Why companies choose Dinarys
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01
Delivery governance built into engineering
We bring structure, predictability, and control into software delivery.
Our approach is shaped by PMI-based project management, quality gates, risk management, and a success-first delivery culture.
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02
Accountable engineering
We do not only take tasks and write code.
We analyze the business and technical context, identify the real bottleneck, challenge weak assumptions when needed, and take responsibility for the technical outcome.
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03
Senior expertise for CTO-led execution
We support technical leaders with experienced engineers, architecture expertise, and practical roadmap execution.
This helps CTOs and Fractional CTOs stay strategic while having a reliable team to execute.
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04
Curated teams, not generic outstaffing
Every dedicated team is built around the client’s actual requirements, workflow, culture, risks, and delivery context.
We assess technical skills, soft skills, project fit, culture fit, communication style, and risk factors before proposing engineers.
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05
Practical AI, from the process
We start from the business process, compare platform features, ordinary automation and AI, and use AI only where it removes real work.
Every AI step gets quality checks and human oversight.
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06
A partner that has your back
Good delivery depends on trust, honest communication, and people who care about the outcome.
We stay close to the problem, speak openly, involve the right experts, and do not leave clients alone with delivery risk.
Catalog management FAQ
Data entry moves product information into your store. Enrichment makes it complete: normalized dimensions, verified specs and descriptions built from supplier facts. For an upload backlog, see ecommerce data entry or Magento data entry.
Not necessarily. We work in your current platform where it does the job. If it falls short, our PIM consulting and implementation team can help, and digital asset management consulting covers images and media.
We update the mapping, retest it on sample records and check every channel before the new data goes live, so a format change does not break your listings.
Yes, where the output can be checked. We test AI category and description suggestions against your approved examples, and AI never adds a fact the supplier did not provide.
Yes. We build feeds to the current Merchant Center product specification and each marketplace’s rules, and check that feed, product page and checkout show the same price and availability.
The number of suppliers and channels, data quality, variant complexity, languages, media and how much review your team can handle. A store build is scoped separately, for example BigCommerce development.
Let’s review your product feed
Tell us about one supplier feed and where products get stuck. We agree a secure file transfer before you send anything.
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