Your operations are costing you millions. We fix that.
BergLabs creates, annotates, enriches, and structures product data at scale – so your search works, your catalog is clean, and your customers find what they’re looking for.
0M+ $
Revenue lift delivered
0M+
SKUs processed
0%+
Annotation accuracy
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Operators
A product exists. Efficient e-commerce operations makes it findable, trustworthy, and sellable.
Raw product data titles, images, seller descriptions – is messy, inconsistent, and incomplete. Annotation is the human + AI process of turning that chaos into structured, searchable intelligence. Here’s what that looks like in practice:
01
Raw Product Data
Seller uploads a listing: "red womens shoes sz 7 nike air max comfy"
02
Category Classification
Mapped to: Women's Footwear → Sneakers → Running. Prevents it from disappearing in wrong categories.
03
Attribute Extraction
Brand: Nike. Model: Air Max. Color: Red. Size: 7 (US Women's). Condition: New.
04
Managed Operations Annotation
Fully managed customer, vendor, catalogue or product operations
05
Search-Ready Listing
Now returns for: "nike air max women", "red running shoes size 7", "womens sneakers".
Every messy SKU is a missed sale. At a million SKUs, it's a structural revenue leak.
E-commerce platforms lose revenue not just from bad UX – but from product data that no algorithm can save. Our clients were experiencing all four of these before BergLabs.
Broken Search Relevance
When product attributes are wrong or missing, search algorithms surface irrelevant results. Customers search for "blue denim jacket" and get brown leather vests. They leave and don't come back.
46% search conversion lost
Misclassified Catalog
Products placed in wrong categories can't be discovered through browsing. A blender sitting in "Small Appliances → Coffee" never gets seen by someone shopping for kitchen equipment.
Up to 30% of SKUs miscategorized
Poor Seller Experience
When sellers don't know why their listings perform poorly, they leave your platform. Annotation-powered feedback loops tell sellers exactly what to fix — and NPS goes up.
9% NPS uplift after annotation ops
Trust & Safety at Scale
Counterfeit listings, policy violations, and harmful content slip through at scale. Without structured annotation and human review, moderation becomes whack-a-mole.
99%+ accuracy on trust & safety queues
Four annotation pillars that move your core metrics.
Not generic data labeling. Annotation work designed specifically for how e-commerce platforms make money – and where they leak it.
Product Data That Actually Works
We classify, enrich, and structure your entire catalog - from product titles and descriptions to attributes and images. Multi-modal annotation across text, images, and structured data fields, at any scale.
- Product taxonomy classification across thousands of categories
- Attribute extraction: brand, size, color, material, compatibility, specs
- Image quality assessment and product region tagging
- Duplicate detection and variant grouping (same product, different sellers)
- Multi-language catalog support across regional marketplaces
Search That Converts, Not Just Returns
Search relevance is only as good as the training data behind it. We generate query-to-product relevance judgments, annotate ranking signals, and build continuous feedback loops that compound over time.
- Query-product relevance scoring (exact, partial, irrelevant)
- Search result ranking annotation for ML training
- Zero-result query analysis and taxonomy gap identification
- Seasonal and trend-aware relevance updates
- Continuous feedback loop integrated with your search team
Happier Sellers, Better Listings
Sellers are your supply side. We make onboarding faster, listing quality scoring automatic, and feedback actionable - so sellers stay, improve, and grow on your platform.
- Automated listing quality scoring with actionable flags
- Seller onboarding review and compliance checking
- Policy violation detection across millions of listings
- Seller feedback annotation for NPS analysis
- New seller category guidance to accelerate first sales
A Marketplace People Trust
User-generated content - reviews, Q&A, seller listings, images - can make or break trust in your marketplace. Our trust & safety specialists handle the hard calls at scale.
- Counterfeit and IP violation detection in listings
- Review authenticity and spam classification
- Prohibited items and policy violation flagging
- Sensitive category handling with specialist annotators
- Escalation queues with SLA guarantees
What annotation operations actually deliver - in numbers
The case study below is from India’s largest e-commerce platform. Same problems, same stakes, same platform scale you’re operating at.
Before BergLabs
Search conversion loss
46% of search sessions ended without a click
Catalog state
Broken taxonomy, inconsistent attributes
Seller satisfaction
Low NPS, sellers unable to diagnose listing issues
Revenue trajectory
Capped by data quality ceiling
After BergLabs
Search improvement
20% reduction in search pain points
Catalog state
Full taxonomy cleanup, enriched attributes across all SKUs
Seller satisfaction
9% seller NPS uplift within 2 quarters
Revenue trajectory
$55M+ revenue lift and margin improvement, compounding through our Human + AI platform
Case study - India's largest e-commerce platform
0M+ $
Revenue Lift
0%
Search pain reduction
0%
Seller NPS uplift
0%+
Annotation accuracy
The platform was losing nearly half its search conversion potential due to catalog quality – wrong categories, missing attributes, and poor relevance data. BergLabs deployed 2,000+ domain-trained annotation specialists, rebuilt the taxonomy from the ground up, and established a continuous relevance feedback loop. The revenue impact compounded quarter over quarter because annotation quality feeds directly into ranking models that improve with every training cycle.
From kickoff to live annotated data in 10 days.
Not a six-month implementation. We’re set up to move fast – because your catalog problems are costing you money today.
Catalog Audit & Scoping
We analyze a sample of your catalog - category distribution, attribute coverage, image quality, search log patterns. You get a clear picture of where the revenue leaks are within 48 hours.
Days 1-2
Annotation Playbook Design
Our team builds annotation guidelines tailored to your taxonomy, product verticals, and quality thresholds. Calibrated against your existing catalog and business rules - not a generic template.
Days 3-5
Team Deployment & QA Setup
Specialist annotators are assigned to your account through BergFlow. Quality assurance layers, inter-annotator agreement checks, and escalation paths go live before the first task runs.
Days 6-8
Live Operations & Feedback Loop
Annotation runs at scale. Weekly business reviews, accuracy dashboards, and a continuous feedback loop that improves quality - and feeds your ML models - quarter over quarter.
Day 10 onwards
Three tools that make annotation operations predictable.
Not a generic BPO. An annotation lab built for e-commerce.
We started in Dehradun, India in 2022 with five annotators and one obsession: doing the hard, boring work better than anyone else. Today we’re the ops layer behind India’s most demanding e-commerce platforms.
✔
2,000+ e-commerce specialists, not generalists
Our annotators are trained on product taxonomy, marketplace operations, and category-specific nuance — not rotated across random projects. Domain retention compounds quality.
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Profitable from day one, no VC pressure
We built a real business with real unit economics. That means we're aligned with your outcomes — not racing to hit growth metrics by cutting quality corners.
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>99% team retention, stable knowledge base
Legacy BPOs churn annotators every quarter, destroying domain knowledge. Our teams stay — and get better. Your annotation quality improves with every task cycle.
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Delivery pods embedded in your team
We don’t just send data back over a portal. Delivery pods of product, AI, and operations leads work alongside your catalog and search teams — not at arm’s length.
✔
SLA-backed, ultra-low per-task pricing
Transparent pricing with contractual SLAs on accuracy, throughput, and turnaround. No surprise overages. No black-box billing.
Accuracy comparison
BergLabs (AI + Human HITL)
96–99%
AI-only automation
~78%
Legacy BPO (offshore)
~82%
In-house annotation team
~88%
Enterprises need 98%+ for catalog operations to meaningfully improve search models.
The gap between 80% and 98% is where human judgment, good tooling, and tight feedback loops create compounding advantage —
every task teaches the system how to handle the next one better.
Things e-commerce teams ask before signing.
How long does it take to get started?
We're live with annotated data in 10 days from kickoff. Day 1–2 is catalog audit. Day 3–5 is playbook design. Day 6–8 is team setup and QA. Day 10 onwards, annotation runs at scale with daily output and weekly business reviews.
We already have an in-house annotation team. How do you complement them?
Most of our enterprise clients do. We typically handle surge volume, specialized verticals (luxury, electronics, FMCG), or the search relevance annotation work that requires dedicated domain expertise. Your team focuses on quality strategy; we handle throughput.
What does "annotation" actually cost per SKU?
Pricing depends on annotation type and complexity - basic categorization costs far less than multi-attribute extraction with image verification. We provide a detailed cost-per-task breakdown after the free catalog audit. Ultra-low per-task pricing with SLA guarantees is our model.
How do you handle data security for our product catalog?
Catalog data stays within your data environment or our SOC 2-compliant infrastructure. Annotators work through BergWork with strict access controls, no data exfiltration, and full audit logs. NDAs are standard on every engagement.
Can you handle non-English catalogs?
Yes. We support multi-language annotation for regional marketplaces - Hindi, Tamil, Kannada, Marathi, and other Indian languages, as well as Southeast Asian languages. Specialist annotators are matched by language and product vertical.
What kind of results should we expect in the first quarter?
Based on our existing clients: measurable improvement in search relevance metrics within 4–6 weeks, detectable NPS movement in seller feedback by quarter end, and a clear cost-per-task benchmark that usually beats your current setup by 30–50%.
Your catalog is leaking revenue right now.
Let's find out how much, and what it takes to fix it. Free catalog audit. No commitment.
