TAKE A LOOK

Ecommerce site search, supercharged with enterprise search

Ecommerce site search decides whether visitors find what they came for. We tune the engine behind it: relevance, synonyms and typo tolerance.

5+years of experience
1430+successful projects
24/7support
What it's used for

Core use cases for enterprise search

01

Product search

Fast, precise search across your full catalog or a single category, with filtering and sorting built in.

02

Ranking

Search results are sorted automatically by how well they match the user's query.

03

Data storage

Reliable storage for logs, contact records, bookmarks, and user history — all with fast access.

Search Platform Capabilities

Everything You Need to Own On-Site Search

Four pillars of a complete enterprise search solution, built for catalogs of any size.

Unified Search Experience

One search bar that understands what your visitors mean. The engine indexes every product, category, and content page into a single fast index, so shoppers get precise, filterable results as they type. No more zero-result dead ends or five-second category scans.

Instant Full-Text Search

Queries answered in 10–50 ms across millions of records. Inverted-index storage purpose-built for text search with automatic sharding.

Autosuggest As You Type

Context-aware suggestions in under 5 ms, complete with product thumbnails, prices, and category shortcuts.

Faceted Navigation

Price, brand, size, and any custom attribute computed in the same query — filters update instantly with result counts.

Zero-Result Alerts

Automatic notifications when popular queries return nothing, so merchandisers can add synonyms or products before sales are lost.

Relevance Tuning & Ranking

Great search is not just fast — it puts the right product first. We tune analyzers, weights, and boosting rules against your real query logs, then verify every change with measurable relevance metrics before it reaches customers.

Synonyms & Stemming

Language-aware analyzers reduce words to their roots and expand synonyms, so "sofa" finds "couch" and "running shoes" finds "trainers".

Typo Tolerance

Fuzzy matching absorbs one- and two-character mistakes. "ipohne" still finds the phone instead of an empty page.

Behavioral Boosting

Ranking learns from clicks, add-to-carts, and purchases. Bestsellers and high-margin items rise for the queries that matter.

A/B Relevance Testing

Every ranking change ships behind an experiment. We compare conversion and click-through before rolling out to all traffic.

Connect Every Data Source

Pre-built pipelines pull products, content, and documents into the index with zero manual exports. Whether your data lives in a commerce database, a PIM, an ERP, or plain files, the engine ingests it in near real time and keeps it synchronized automatically.

Product Catalog CMS Pages PostgreSQL MySQL MongoDB PIM ERP CSV Feeds PDF Documents S3 Storage Kafka Streams Application Logs GraphQL REST API

Each pipeline includes schema auto-detection, incremental delta indexing, and change data capture — a price update appears in search results within seconds, not after a nightly rebuild.

Enterprise-Grade Security

Your catalog, pricing, and query data stay protected. The search cluster is deployed with defense-in-depth controls that satisfy corporate security policies out of the box.

Role-Based Access

Granular permissions per index and per field. Marketers see analytics, developers see mappings, and nobody sees more than they need.

256-Bit Encryption

Bank-grade encryption at rest and fully encrypted connections in transit for every node-to-node and client connection in the cluster.

SSO & API Keys

Single sign-on for dashboards plus scoped, revocable API keys for applications. No shared passwords, ever.

Audit Logs

A complete trail of queries, configuration changes, and access events, exportable to your monitoring stack.

Guarantees

Why Clients Trust Us

Concrete commitments we honour on every single project.

Fixed Price

The price in the contract never grows mid-project

12-Month Warranty

We fix defects for a year after launch

You Own All Source Files

Full code and files handed over — zero lock-in

2 Revision Rounds per Stage

Revisions within the agreed scope at no extra cost

NDA & Confidentiality

We sign an NDA — your data stays protected

30 Days of Support

Post-launch technical support included

Staged Payment

Pay per delivered stage — a stage not delivered as agreed is refunded

Enterprise search features

01

Security

Control data access for every team member. Give marketers access to analytics only.

02

Performance monitoring

Track performance, get alerts on changes, and compare multiple deployments.

03

Alerts

Stay on top of every change and suspicious activity with a configurable alerting system.

04

Scalability

Add servers and the system rebalances the load itself. If a node fails, no data is lost.

Implementation Playbook

Tuning Search That Finds — and Sells

Deploying a search cluster is the easy part. The value comes from configuration: analyzers that understand your customers' language, ranking weights aligned with your margins, and a feedback loop that keeps relevance improving after launch.

A Ranking Formula That Works

After tuning search for stores of every size, we have settled on a weighting approach that consistently outperforms defaults: [Text Match] × [Popularity Signal] × [Business Boost]. Exact title matches score highest, click and purchase history lifts proven products, and merchandisers can pin promotions per query. Keep boosts moderate — overweighting business rules is the fastest way to make search feel broken.

Synonyms Built From Real Query Logs

The biggest mistake teams make is writing synonym lists from imagination. Your customers already tell you how they search — the query log is the source of truth. We mine zero-result and low-click queries every month and turn them into synonyms, redirects, and catalog fixes (we use our search analytics tooling) with human review before anything ships.

Structure the relevance program as a cycle: capture queries, find failures, fix analyzers or data, measure conversion. Teams that run this loop monthly see search conversion climb quarter after quarter instead of decaying as the catalog grows.

Search Launch Checklist

  • 01 All searchable attributes mapped and indexed
  • 02 Language analyzers for every storefront locale
  • 03 Synonym dictionary seeded from query logs
  • 04 Typo tolerance for 1–2 character errors
  • 05 Facets on price, brand, and key specs
  • 06 Autosuggest with product thumbnails
  • 07 Zero-result query monitoring and alerts
  • 08 Relevance A/B test before full rollout

Common Mistake

Rebuilding the entire index every time a product changes. Full reindexing at scale takes hours and leaves search stale all day. Use incremental delta indexing with change data capture so price and stock updates appear in results within seconds.

Process

From request to a working search — 6 steps

A transparent process with fixed checkpoints. You see progress at every stage.

1

1–2 days

Consultation and audit

We analyze the current search on your site: speed, relevance, and share of zero-result queries. We pinpoint growth opportunities.

2

2–3 days

Solution architecture

We design indexes, mappings, and a strategy for synonyms and autosuggestions. We prepare several proposal options.

3

3–5 days

Setup and indexing

We deploy the cluster, configure analyzers for English and other languages, and index the catalog.

4

2–3 days

Site integration

We connect the search engine to your online store: facets, autosuggestions, and result highlighting.

5

1–2 days

Testing and tuning

Load tests, an A/B comparison against the current search, and final tuning of relevance weights.

6

Ongoing

24/7 support

Cluster monitoring, synonym-dictionary updates, and scaling as the catalog grows. We guarantee service availability from 99.9%.

Comparison

enterprise search vs built-in search

Built-in basic search holds up to 1,000 products. Beyond that: lag, zero relevance, and lost sales.

Criterion Basic search enterprise search
Typos "iphone" ≠ "iPhone" → 0 results Smart recognition + synonyms: "iphone" = "iPhone" = "apple phone"
Speed at 100K products 2-5 seconds (full data scan) 10-50 ms (smart indexing)
Faceted filtering Separate database queries, slow Built-in facets, instant
Autosuggestions None or laggy Smart suggestions in 5 ms, context-aware
FAQ

Frequently Asked Questions

Answers to the key questions about implementing smart search for your business

Basic (search + suggestions): from $10,000. With facets and analytics: from $20,000. Enterprise solution with monitoring: from $40,000.
from $10K
implementation
Basic search: 1-2 weeks. Full catalog integration: 2-4 weeks. Enterprise solution: 4-6 weeks.
For small catalogs — no, it runs on your current hosting. From 500,000+ items we recommend a dedicated server (from $150/mo). Large projects — from $500/mo.
Standard search (MySQL LIKE / FULLTEXT) does direct string comparison. At 10,000+ products this leads to 2–5 second delays, no typo handling, and zero personalization. Enterprise search uses inverted indexes, lemmatization, and fuzzy matching — results in 10–50 ms with synonyms, transliteration, and user context.
A typical rollout is 2–4 weeks. Week one: audit of the current search, index and mapping design. Weeks two-three: cluster setup, site integration, facets and autosuggestions. Week four: A/B testing and relevance tuning. For catalogs over 1M items — up to 6 weeks.
No. Enterprise search integrates with any platform via API. Your site keeps running on its current platform, while search queries are routed to a dedicated search cluster. Changes on the site side are minimal — swapping the search form and the results page.
Enterprise search scales horizontally. As the catalog grows, new nodes are added to the cluster — the system automatically redistributes data and load. Indexing 100,000 products takes ~2 minutes. If a node fails, the others take over the load and no data is lost.
Built-in search only matches exact strings, doesn't understand typos, and gets slow on large catalogs. Smart search understands morphology (searching = search), fixes mistakes, and gives suggestions as you type. On catalogs of 10,000+ products the speed difference is up to 100x.
×100
faster than basic search
Fully. Morphology, synonyms, transliteration (kofe → coffee), and automatic typo correction across languages. We tune the system to your niche and product vocabulary.
Perfect. Faceted filtering (color, size, price), search by part number, suggestions with product photos, and a related-products block. Average conversion lift from search — +35%.
+35%
search conversion
It connects to any platform. Indexing is automatic: add a product and it's searchable within 5 seconds. Catalog updates happen without taking the site down.
The system scales to any volume. 10M products is a standard configuration. 100M+ uses a distributed architecture. Search speed stays within 50 ms.
Blog

Useful Articles

Scenarios

Where enterprise search delivers maximum ROI

Online store with 10,000+ SKUs

As the catalog grows, standard search degrades. Enterprise search keeps response time <50 ms across millions of items.

  • Faceted filtering by price, brand, and size
  • Autosuggestions with product thumbnails
  • Personalized ranking by purchase history

B2B portal

Wholesale buyers search by part number, OEM number, and technical specs. Standard search can't keep up.

  • Search by part numbers and cross-references
  • Filtering by stock levels and warehouses
  • Personalized pricing in the results

Content platform

Thousands of articles, documents, and manuals. Full-text search with snippet highlighting and ranking by freshness.

  • Search inside PDF, DOCX, and Excel files
  • Highlighting of matched snippets
  • Filtering by date, author, and section

Marketplace

Hundreds of sellers, millions of products, and varied data formats. Enterprise search unifies it all into a single index.

  • Multi-vendor data aggregation
  • Smart synonyms and transliteration
  • Seller rating in the results
SMART SEARCH = MORE SALES

43% of shoppers head straight to search. What do they find on your site?

If on-site search can't find what the customer is looking for, they leave for a competitor — even when the product is in your catalog.

+35%
Conversion from search

Users who find a product through search convert 35% better. They already know what they want — help them find it.

0.05 sec
Response time

Instant results as you type. Typos, synonyms, transliteration — the system understands what the user meant.

AI
Personalization

Search learns from each user's behavior. The more data it has, the more accurate the results — and the higher the conversion.

Transparency

An investment in search — paid back through higher conversion

Transparent pricing

A fixed implementation cost with no hidden fees. You know the exact budget from day one. Any extra work is agreed separately.

Typical implementation project
2–4 weeks
Request a quote →

Disciplined Agile Delivery

One sprint — one goal — one feature. Every enhancement maps back to your business goals (impact mapping). Flexibility inside development, rigor in reporting.

  • Weekly demos and progress reports
  • Full access to the task tracker
  • Automated code-quality metrics
  • NPS satisfaction monitoring

We also implement OpenSearch (an alternative solution) — OpenSearch solutions →

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Key Takeaways

What to Remember About Enterprise Search

  • Built-in basic search holds up to about 1,000 products — beyond that, lag and zero-result pages cost you sales
  • Shoppers who use search convert around 35% better — make sure they always find something relevant
  • Typo tolerance and synonyms are non-negotiable: "ipohne" must still find the phone
  • Keep response times under 50 ms with inverted indexes, not full database scans
  • Mine zero-result queries monthly — they are a free roadmap of missed demand
  • Use incremental delta indexing so price and stock changes reach results in seconds
  • A/B test every relevance change against conversion before full rollout
  • Treat in-store search as an ongoing relevance program, not a one-time install

Last updated: July 2026 · Compiled from enterprise search rollouts across retail, B2B, and content platforms

Ready to optimize search on your site?

Enterprise search helps your customers find the products they need faster, lifting conversion and average order value.

98%

of clients stay with us

2-4 weeks

average rollout time

30%+

conversion growth on average

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Testimonials

What Our Clients Say

Real feedback from the companies we have worked with

4.8
★★★★★
4 reviews

5.0

Quality

5.0

Communication

4.5

Timeliness

5.0

Value

Quality 5
Communication 5
Timeliness 4
Value 5
Hardware is brutal for search — customers type 'm8 bolt', the catalog says 'hex machine screw'. AWDS tuned synonyms against our actual query logs, and the search bar finally speaks both languages. Watching the zero-result report shrink month over month has become a small office ritual.
Barnabas Greenhalgh

Barnabas Greenhalgh

Owner, Millstone Hardware

Quality 5
Communication 5
Timeliness 5
Value 5
Customers misspell author names constantly. The search forgives them now — typos, initials, half-remembered titles. Sales through the search bar doubled.
Millicent Ravenshaw

Millicent Ravenshaw

Owner, Longboat Books

Quality 5
Communication 5
Timeliness 4
Value 5
A marketplace with three hundred sellers means product names written three hundred different ways. The relevance work outlasted everyone's estimates — our data was messier than anyone guessed, and the synonym dictionaries went through several rounds. Worth it: buyers now find a seller's stall from a vague description, and the alert for searches that return nothing lets us fix gaps the same week. Four stars for the calendar, five for the result.
Ignatius Padfield

Ignatius Padfield

Operations Director, Haywain Crafts Market

Quality 5
Communication 5
Timeliness 5
Value 5
Filters used to be decoration on our category pages; nobody trusted them. Now price, size and brand narrow thousands of tents and boots in one motion, with live counts beside each option. Suggestions appear as you type, thumbnails included. Shoppers behave differently when search actually works.
Augusta Winterbotham

Augusta Winterbotham

Head of E-commerce, Plover Outdoor Gear

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