PIM & E-Commerce Solutions

What We Do

Whether you need a PIM implemented, integrated with your existing stack, migrated from a legacy system, or built from scratch - we've done it before, at enterprise scale, across every major platform.

PIM Implementation & Configuration

We implement and configure PIM platforms, and custom builds tuned to your catalog structure, supplier workflows, and channel requirements. Not out-of-the-box. Production-ready.

E-Commerce & Channel Integration

We connect your PIM to Amazon, Shopify, Mirakl, EPREL/ECHA, ERPs, and custom marketplaces with channel-specific transformation and automated syndication built in. One master catalog. Every channel consistent.

PIM Migration & Data Consolidation

Moving from a legacy PIM, spreadsheets, or an overgrown custom build? We handle full migration (data mapping, cleansing, transformation, and cutover) without disrupting live operations.

Custom PIM & Product Data Platform Builds

When off-the-shelf doesn't fit, we design and build from scratch. Custom PIM systems, white-label product data platforms, bespoke catalog infrastructure. Our own Gepard PIM was built exactly this way.

AI-Powered Data Enrichment & Automation

Attribute mapping automation, content generation, PDF extraction, enrichment scoring, and supplier data normalisation built to cut manual ops workload without removing human judgment where it matters.

Ongoing Support, Evolution & Advisory

EPREL, ECHA, and market-specific regulatory requirements create real product data overhead. We build the workflows that keep your catalog compliant - updated as regulations change, across every market you operate in.

Product Data Strategy & Audit

Before building anything, we assess what you have. Catalog structure, data quality, taxonomy design, governance gaps, and platform fit - mapped against where you're trying to go. A clear picture of what needs fixing, in what order, and why.

Supplier Onboarding & Data Intake Automation

The 10th supplier shouldn't be as slow as the first. We design and build supplier onboarding workflows (intake portals, format normalisation, validation rules, and automated routing) o every new supplier feeds your catalog without manual cleanup.

What Our Customers Say

"We have been working with Bintime for more than 15 years. They are dedicated and will always help to find a solution for our wishes and problems."

Gerco Vermeer Development manager, Futurumshop.nl BV

"The core team is very loyal. They understand information management and communication, and efficiency has increased due to our long relationsip. They're very useful, especially on complex projects. Being based out of Ukraine allows for a lower cost base, as well."

Martijn Hoogeveen CEO, Icecat

"Bintime was very helpful with their experience. I like the way they operate - it was like we were working together in one team. We made it very fast - it has taken only 3 months to receive a stable data solution which is used till today."

Serhii Budia CEO and Founder, Movex Ukraine LLC

"Bintime turned our idea into reality, and they’ve been growing and scaling it ever since. The team delivers high-quality service with the latest technologies. They foster a talented team that's skilled in a variety of fields. The communication style is personal, and the team consistently meets deadlines."

NDA CEO, Technology Company

Discover Success Stories

5 years of cooperation

Eden Technology

Eden PIM

Explore how Bintime development team overcame all the challenges during the Product Information Management development process.

E-Commerce
B2C E-Commerce
Retail

3 years of cooperation

Gepard PIM

Gepard PIM: AI Mapping

The OpenAI API embedded model has been integrated into Gepard's PIM & Syndication platform to cover the data mapping

E-Commerce
B2B E-Commerce
Retail
PIM

22 years of cooperation

Icecat BV

Icecat

Covered the need of brands in delivering quality product information to the Icecat catalog: large amounts of optimized content are automatically streamlined to Icecat, which raises brand awareness, makes products easily discoverable and drives sales.

E-Commerce
Retail

Our Approach

Centralise Before You Scale
Every engagement starts by establishing a reliable master catalog - a single source of truth that every channel, every AI tool, and every team draws from. We assess your current state, map the gaps, and design the architecture before writing a line of code.
Automate What Shouldn't Be Manual
Supplier onboarding, attribute mapping, data transformation, enrichment, validation - these are processes that should run automatically once configured. We identify the highest-friction manual workflows and engineer the automation that eliminates them.
Integrate the Full Stack
PIM doesn't work in isolation. We connect your product data platform to ERPs, eCommerce platforms, marketplaces, compliance systems, and AI tooling, so data flows automatically between systems without manual intervention at every handoff.
Build for Where You're Going, Not Where You Are
Most businesses implement a PIM for today's catalog and today's channels. We design product data infrastructure that handles what's coming: AI-powered features, new market expansion, compliance requirements, and catalog volumes that are an order of magnitude larger.

The Problems We're Called In To Solve

AI initiatives that keep underperforming
Search, recommendations, and agents are only as good as the product data feeding them. If the catalog is incomplete, inconsistent, or unmapped, no model improves that. We fix the data layer that everything else depends on.
No single source of truth
Product content differs across channels, teams manage by exception, and every inconsistency is a downstream symptom of the same root cause: product data that was never centralised or governed properly.
Channel launches that take months
Most of that time isn't development. Ut's data preparation. Reformatting content per marketplace, chasing suppliers for missing attributes, manually validating before each launch. We automate what should never be manual.
Ops teams stuck in permanent manual loops
Every supplier sends data differently. Every launch requires cleanup. Every new channel adds more of the same work. Without the right architecture, growth in catalog volume means proportional growth in ops overhead, permanently.
A PIM that's outgrown its purpose
Many businesses are running on a PIM that was the right choice five years ago, or on spreadsheets that were never meant to scale. The cost of staying isn't always visible until a major initiative (AI, new markets, marketplace expansion) exposes the gap.
Conversion that suffers everywhere at once
Incomplete attributes, missing images, and inconsistent descriptions reduce conversion across every channel simultaneously, because they all draw from the same broken source. The fix is upstream, not per-channel.

Let's Discuss Your Case

How an Engagement Works

Discovery & Architecture Review
We start by understanding your catalog structure, current systems, supplier workflows, channel requirements, and the specific problem you're trying to solve. We assess platform fit, identify migration or integration risks, and map a realistic implementation path before any build begins.
Implementation & Integration
Whether we're implementing an existing PIM platform, building custom data infrastructure, or integrating a new system into your existing stack - our engineers handle the full technical build. From data modeling and ETL pipelines to channel connectors and API integrations.
Data Migration, Validation & Go-Live
We run end-to-end validation against your real catalog before anything goes live. Data quality checks, transformation rule testing, channel output verification, and performance testing at production volume. No surprises at cutover.
Ongoing Engineering & Evolution
Product data infrastructure is never finished. We provide continuous engineering support - new channel integrations, AI capability additions, platform upgrades, performance tuning, and strategic advisory as your requirements evolve. Many of our PIM and eCommerce partnerships run 10–15+ years.

Why Bintime for PIM & E-Commerce

We build the platforms, not just implement them
Bintime built Gepard PIM from scratch and operates it at enterprise scale - 120M+ product updates processed per month, across 15+ countries. That means when we implement or advise on product data infrastructure, we bring the perspective of engineers who've solved the same problems in production, not just in client engagements.
Platform-agnostic, outcome-focused
We work across the major PIM platforms and build custom when none of them fit. We recommend what's right for your situation, not what's easiest for us to deliver. Our 95% client retention suggests the advice holds up.
20+ years of eCommerce integration depth
We've connected PIM systems to every major eCommerce platform, ERP, marketplace, and compliance system in commercial use. The integrations that look straightforward and aren't - we've seen them, debugged them, and built the patterns that make them reliable.
Long-term partnerships, not project handoffs
Our engagements don't end at go-live. We stay involved as your catalog grows, your channels multiply, and your requirements evolve. The Bintime team that implements your PIM is the same team available five years later when you're adding AI enrichment or expanding to a new market.

Let's Talk

Frequently Asked Questions

How do you decide which PIM platform is right for us?

We start with your catalog complexity, channel mix, integration requirements, team size, and budget, and match those against the capabilities and total cost of ownership of available platforms. Sometimes the answer is an existing platform. Sometimes it's a custom build. We give you a recommendation based on your situation, not on which platforms we're certified to deliver.

Can you work with a PIM we've already implemented?

Yes, and this is common. Many clients come to us after an implementation that didn't deliver the expected outcomes, or with a PIM they've outgrown. We assess what's in place, identify what's fixable versus what needs to be rebuilt, and take it from there. We don't require a full replacement to add value.

How do you handle data migration from a legacy system?

We approach migration in phases: catalog assessment and data quality audit first, then data mapping and transformation design, then incremental migration with parallel validation before cutover. For large catalogs, we migrate by product category or supplier rather than all at once, reducing risk and allowing operational continuity throughout.

How does Gepard PIM fit into this?

Gepard is one option in our toolkit, it's the PIM platform Bintime built and operates, so we know it inside out. For clients where Gepard is the right fit (particularly in retail, eCommerce, and distribution-heavy use cases), it offers a significant implementation advantage. For clients whose requirements point elsewhere, we implement the platform that serves them best.

What does AI actually add to a PIM implementation?

The most immediate value is in the operations that currently require human time: mapping supplier attributes to your taxonomy, extracting structured data from PDFs and unstructured feeds, generating and enriching product descriptions, and detecting completeness gaps across large catalogs. We implement AI capabilities that reduce that manual workload with human review kept in the loop where accuracy is business-critical.

How long do PIM engagements typically run?

Initial implementation typically runs 3–6 months depending on catalog size, integration complexity, and data quality. Most clients then move to an ongoing support and evolution engagement - adding channels, improving automation, and expanding AI capabilities over time. Our longest PIM and eCommerce partnerships have run continuously for over 15 years.