Aleph FrontInsights
Notes from the platforms we build and run.
Case studies, business and technical writing on Intershop, ANOM, performance, security and AI.
BusinessNo order, no hero
Your customers' procurement teams are investing in AI agents. McKinsey sees them adding 3 to 6 percent in savings, but a decision only pays off once a supplier can execute it. When an agent decides, can your shop take the order?
SecurityISO/IEC 27001:2022: what the certification means for your B2B shop
The information security management system behind Aleph Front and ANOM is now certified to ISO/IEC 27001:2022 by an accredited body. Here is what it covers, how we got there, and why it matters when your commerce platform holds your customers' prices, orders and accounts.
TechnicalANOM fits on 24 floppy disks
Compressed, the whole ANOM back-office weighs 33 MiB, updates included. That is 24 floppy disks, or less than three high-resolution photos. Here is why it matters for your servers, and where it goes next.
TechnicalPrice lists, the curse of B2B platforms
Every B2B buyer has their own price, and every commerce platform has to pick a poison to serve it. We built the three strategies the market uses and measured them, because nobody publishes these numbers.
TechnicalA thousand partners, one server: EDI done right with ANOM
EDI, in EDIFACT or X12, still trips up every new trading partner: specifications that differ, identifiers that change, files that fail for no clear reason. Here is where the difficulty comes from, and how ANOM handles it natively, with a built-in partner simulator and an engine that carries a thousand partners on a single server.
IntershopTwo platforms, one foundation: Tivoly Group goes live on Intershop, delivered by Aleph Front
tivoly.com and peugeot-outils-pro.com are live on Intershop Commerce Platform, delivered by Aleph Front with ANOM (Aleph Accelerator). The launch also marks Aleph Front's official public debut as the Aleph Archives subsidiary exclusively focused on Intershop B2B integration.
AIBeyond keywords: building a recommendation engine for how people actually shop in 2026
Recommendation has moved from a static 'customers also bought' strip to an intent-aware, real-time, vector-based discovery layer. Here is where the field is heading, and what we are building for B2B Intershop: a sovereign, first-party recommendation engine.
AIBetter product content, on your own terms: AI for descriptions, translation, and attribute enrichment
AI is now the default engine for product data enrichment: descriptions, translation, and attribute completion. Here is why we run it as local, sovereign models inside your own environment rather than shipping your catalogue to a third-party service.
TechnicalFrom 535ms to 0.15ms: how we made Infor M3 pricing instant on Intershop
Infor M3's pricing API is powerful but slow. Here is how we brought response times from half a second to sub-millisecond using a smart caching layer, with real production numbers.