Ecommerce Search and Guided Selling Services: Find the Right Product
We connect product data, compatibility rules and site search so buyers can find a valid product by part number, application or equipment model.
- 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
When you need search and guided selling
Buyers often know a machine, a part number or a task, not your SKU. Search must connect their words to valid products.
Part numbers return nothing
Buyers type a supplier code, an old part number or a trade term, and search shows zero results.
Results ignore compatibility
Two products look alike, but only one fits the buyer’s machine, model or revision, and search can’t tell.
Sales reps answer the same questions
Buyers call or email to ask which product fits, because filters and product pages don’t answer it.
Search and guided selling use cases
Better search pays off when your catalog is large, technical or account-specific, and buyers can’t browse to the answer.
Typical situations where search and guided selling deliver the most value:
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Spare parts and replacements
Buyers search by part number or cross-reference and need the verified replacement when an item is discontinued.
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Products that must fit equipment
Compatibility depends on machine, model, year or revision, and a wrong match means returns and lost trust.
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B2B accounts with own assortments
Each customer may only see and buy its permitted products, prices and terms, in suggestions as well as results.
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Choosing by application or task
Buyers describe what they need to do, and a short question flow turns that into a valid selection.
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Large technical catalog
Thousands of similar products differ by a few attributes, so missing units and synonyms break search and filters.
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Native search falls short
Your platform’s built-in search can’t handle your queries, and you need to decide whether to tune, extend or replace it.
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
Tarek Yafi
Co-Founder at Undrgoods
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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.
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Dr. Petros Demetriades
CTO, Untamed Cat Food Ltd
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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.
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Joseph Frank
CEO, Kaizen Technology Solutions
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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.
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Yann Rigo
CIO, Panodyssey
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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
Aaron Freitag
Managing Director, myfelt GmbH
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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 search and guided selling
AI can turn a buyer’s own words into a structured request. Product facts, compatibility and purchase rights still come from your data and rules, checked by your experts.
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 search services include
Choose one service or the full project. We improve what you have before adding a new search tool.
Search audit on real queries
We review failed and zero-result queries, identifiers, synonyms and attributes to find what blocks a selection.
Product data for search
We fix part numbers, units, synonyms and attributes, because search can only find facts that exist.
Compatibility and cross-references
We connect maintained compatibility rules and cross-references, so results reflect real fit, not similar text.
Guided selling and product finders
We build short question flows, product finders or configurators that ask for missing facts instead of guessing.
Personalized results within account rules
We tailor results to the account’s assortment, selected equipment, region or stated task, within its prices and buying rights.
Search platform selection and integration
We compare tuned native search, hosted search services and custom options on your tasks, then integrate the one that passes.
How we work
We start with one category, one channel and the hard selections your product experts can judge.
1. Collect real buyer queries
You share search logs, sales questions and expert answers, including incompatible and restricted examples.
2. Compare options on the same tasks
We compare your current search with better settings and other tools on the same queries.
3. Build the selection flow
We implement data fixes, rules, questions and handoff to an expert, then test with your product team.
4. Launch and monitor
We roll out in stages, watch zero-result queries and failed updates, and retest after every rule change.
Search and catalog case studies
Automotive parts marketplace: multi-method search
Challenge
A European parts distributor needed buyers to find the right part among 250,000 to 2 million parts from multiple suppliers.
What we delivered
– TecDoc catalog integration
– Search by VIN, license plate and part number
– Cross-reference lookup for alternative parts
– Predictive search and a virtual garage
Result
A search system supporting multiple lookup methods, built on Shopify Plus for professional mechanics and car owners.
LastBid: search and filters for auction lots
Challenge
Selective bidders looking for exact matches needed to search unsold auction lots by precise parameters.
What we delivered
– Multi-level filters for product categories
– Enhanced search functionality
– Admin-defined characteristics linked to categories
– Personalized digital salesroom
Result
In six months, LastBid got a two-sided marketplace with sophisticated search, where linked characteristics make search and filtering more efficient.
Office supplies wholesaler: findable catalog
Challenge
A wholesaler needed its 137,000-product catalog updated so customers could search for products more easily.
What we delivered
– Updated product names, SKUs and images
– AI-assisted product categorization
– Scripts to make source fields consistent
– Meta descriptions added for all products
Result
Clear categorization and updated product listings led to a 20% conversion rate increase.
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.
Frequently asked questions
A question-and-rule-based way to help buyers choose, such as a product finder, quiz, configurator or conversational flow. AI is optional; the key questions and selection rules matter most.
Not necessarily. We first test your current search, with better data and settings, on the same tasks. Replace or extend it only for a gap that a new option actually closes.
It often needs part numbers, verified substitutes, account-specific assortments and quote rules. We test each of these explicitly.
No. AI can map buyer language to facts that exist. Unknown compatibility, approvals or specifications need an authoritative source, a clarifying question or a handoff to an expert.
We fix data and synonyms, then check results against your experts’ answers.
We quote by catalog and rule complexity, integrations, access and testing. Conversion also depends on traffic, stock and assortment, so we measure it separately against your baseline.
Test your hardest search scenarios
Bring difficult queries, expert answers and incompatible or restricted examples. We’ll suggest where to start.