GConferenceGridThe Conference Catalogue · Vol. 2026Folio № 85E355
Of the Field

MICES 2026

M

ICES (Mix-Camp E-Commerce Search) 2026 is a one-day event in Berlin dedicated to e-commerce search. The event brings together experts from various disciplines—IT, product management, UX, search managers, information retrieval specialists, data scientists, and vendors—to discuss current challenges, best practices, and case studies in e-commerce search. The p…

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10Voices
3Underwriters
0Exhibitors
11On the bill · sessions
12Companies · in total
§I

The Voices

Programmed at MICES, in alphabetical order.
Andrea Polonioli
Coveo
Arne Vogt
Lead Product Manager for Search & Discovery · OTTO
Charlie Hull
The Search Juggler
Denise Schäfer
dm-drogerie markt
Doug Turnbull
Evgeniya Sukhodolskaya
Senior Developer Advocate · Qdrant
Gennady Shabanov
Machine Learning Engineer · idealo
Ivan Potapov
Research Engineer, Search & Browse team · Zalando
Maëlly Dubois
Product & Operations Manager · Adelean
Mike Dirnberger
Backend Software Engineer and Search Consultant · diva-e
§II

Underwritten By

The houses behind the program. Tiers as disclosed.
Empathy.ai
OpenSource Connections
Tudock
§III

The Programme

Selected from 11 sessions on the bill.
  • 09:00-09:25

    Opening and welcome

    Opening and welcome by the MICES organizers René Kriegler and Sebastian Russ.

  • 09:25-09:55

    Precision vs. Recall: When Good Enough Beats Perfect

    Precision is a fundamental pillar of information retrieval. Yet we struggled to prove its value. Over the past years, we transformed our search from purely lexical to fully hybrid,…

  • 10:10-10:40

    Search, Chat, Ockham: When Two Interfaces Are One Too Many

    Over the past twelve months, ecommerce chatbots have gone mainstream — from Macy's to Argos, from Vans to Belk and now Frasers — positioned as the natural, expressive alternative t…

  • 10:45-11:15

    The Journey to Semantic Search in Omnichannel Retail at dm-drogerie markt

    Semantic search is transforming product discovery in e-commerce by moving beyond keywords toward a deeper understanding of user intent. We share how dm-drogerie markt has been buil…

  • 11:35-12:05

    Inside Zalando Search: Architecture Behind Product Discovery at Scale

    A look inside the Search & Browse architecture powering product discovery for millions of customers across Zalando's European markets. We'll walk through the system end-to-end: Ela…

  • 12:10-12:40

    Fine-Tuning Sparse Neural Retrievers for E-Commerce Is Not That Scary (And Often Worth It)

    Sparse neural retrieval is the middle ground between BM25+LTR, which you've already squeezed, and dense retrieval you'd rather not put in front of users. Inverted index, exact term…

  • 13:35-14:05

    How much searchandizing is too much searchandizing?

    You've installed a new search engine with powerful matching and ranking features — and now your executives, commercial team and users are complaining that certain products don't ap…

  • 14:10-14:40

    Autoresearch: coding agents to optimize e-commerce retrieval

    Machine Learning can be a challenging path. Deploying ML rerankers requires unique deployment infrastructure and specific skills. A new option has appeared with the rise of coding …

  • 14:55-15:25

    Hybrid search at idealo: from fine-tuning to production

    We share our journey of bringing hybrid search to idealo — combining vector and keyword retrieval in production. We cover how we fine-tuned our embedding model, the challenges we f…

Intermission
Part the Second · For the Buyer

An audience of 12 companies, parsed from the program.

Twelve companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

01Fig. 01 — Composition of the House
0All threespeak · spons · exh
3Sponsoringsponsor only
0Exhibitingexhibitor only
9Speakingspeaker only
02Fig. 02 — The Voices, by Seniority
  • Manager / Lead110%
  • Product110%
  • Engineer · IC330%
  • Research / Science110%
  • Other roles440%

Of 10 on the bill · classified by free-text title

03Fig. 03 — The Heaviest in the Room
  1. 01Empathy.aiSp
  2. 02OpenSource ConnectionsSp
  3. 03TudockSp
  4. 04Adelean1V
  5. 05Coveo1V
  6. 06diva-e1V
  7. 07dm-drogerie markt1V
  8. 08idealo1V
  9. 09OTTO1V
  10. 10Qdrant1V
  11. 11The Search Juggler1V
  12. 12Zalando1V
04Fig. 04 — By Tier
unspecified3
100% of 3