More attributes don't mean better product data. Nelson Jameson rebuilt its Akeneo foundation with Ntara, cutting complexity, tightening governance, and turning 78,000+ products into a single source of truth teams actually trust.
🔗 bit.ly/4yg4feH
#Akeneo #PIM
79% of consumers have delayed a purchase expecting a price drop. Only 32% trust retailers to offer fair prices.
A discount gets attention. Accurate product information earns trust.
What to know ahead of Black Friday & Cyber Monday 2026:
akeneo.com/blog/black-friday…
There's no single AI agent for product data. There are 10 worth planning for, and they only work if they share one trusted foundation.
🔗 akeneo.com/blog/the-10-ai-ag…
#ProductData #Akeneo #PIM
79% of U.S. shoppers have delayed a purchase waiting for a lower price. 57% would trust a retailer less if prices changed based on their personal data.
Pricing Under Pressure, our new PX Pulse: 🔗 akeneo.com/white-paper/prici…
#ProductExperience #Retail #Pricing #Akeneo
Pepkor Lifestyle used to export JSON, write scripts, and reimport for every complex product update.
Now it’s one conversation with Agentic Ziggy, reviewed by the team before anything changes.
Hours saved per update. Humans still in control.
akeneo.com/customer-story/pe…
How do you set the right price across 132,000 products when the market won't sit still? @DecathlonUK swapped assumption-led pricing for data-driven experimentation with PricingHUB, now part of Akeneo. Summer to winter, performance kept accelerating.
🔗 akeneo.com/customer-story/de…
30% off sitewide looks great on Cyber Monday. Then the January margin report lands.
Not every SKU deserves a discount. The TV shoppers compare? Maybe. The HDMI cable next to it? No.
How to decide which products earn a Black Friday price cut:
akeneo.com/blog/black-friday…
100% of surveyed Akeneo customers plan to renew. 94% say they love using the platform.
The 2026 SoftwareReviews Buyer Experience Report, based entirely on verified user feedback: 🔗 akeneo.com/white-paper/info-…
#PIM #ProductExperience
AI shopping agents read your product data and your price together, in under a second. If the two disagree, you don’t get ranked lower. You get skipped.
New whitepaper: why pricing and product data can no longer live apart.
akeneo.com/white-paper/why-p…
#AgenticCommerce
95% of IT leaders say they're ready for AI commerce. 89% spend over a quarter of every AI project just preparing data.
The model isn't the bottleneck. The product data foundation is.
What's really holding AI back: akeneo.com/blog/whats-holdin…
Congratulations to Synchro Diffusion (Mobivia), our 2026 Southern Europe PX Champion.
They went from product data scattered across ERPs and spreadsheets to one connected platform with AI-powered enrichment.
🔗 akeneo.com/customer-story/sy…
#Akeneo #PIM #CustomerStory
Akeneo is named a Leader in the first @Gartner_inc® Magic Quadrant™ for Product Information Management Solutions.
🔗 Get your complimentary copy: akeneo.com/white-paper/2026-…
#PIM #ProductExperience #Gartner #ProductInformationManagement #AgenticCommerce
DwyerOmega's product data was trusted, but not every team could reach it.
With Akeneo MCP, they rebuilt their pipeline into one that refreshes automatically every morning, in every language.
Here's how 👇
akeneo.com/blog/dwyeromega-a…
Your AI model isn't the hard part. The harness around it is.
Memory, permissions, guardrails, human checkpoints, audit trail. That's what lets AI act safely, and for product data, it plugs into your PIM.
🔗 akeneo.com/blog/what-is-the-…
#AgenticAI #PIM
How do you price thousands of products across 1,000+ stores when around 600 franchisees set their own prices?
Franprix @franprix centralised its pricing data with PricingHUB in just three months.
🔗 akeneo.com/customer-story/fr…
#PricingHUB #Retail #CustomerStory
What gives a century-old product new life? Personalization, and customers sharing what they create with it.
Our CEO Romain Fouache spoke to The Boston Globe @bostonglobe about L.L. Bean's flagship reopening.
🔗 bit.ly/4AzDSls
#ProductExperience #Retail
Your team can probably build one AI agent.
The harder question: what happens when five agents need to share the same product data, business rules, and approval workflows?
Build vs. platform, explained 👇
akeneo.com/blog/build-or-pla…
#AIAgents #PIM
AI agents read your product data before your buyers do. Learn how to win them over at Unlock 2027.
Paris | Apr 21–22
Chicago | Apr 27
London | Apr 29
Montréal | Apr 29
New York | May 5
Düsseldorf | May 12
Save the date 🔗 akeneo.com/unlock/
#Unlock2027 #AgenticCommerce
Only 9% of shoppers trust a deal without checking it first. If your Amazon listing says 52 cm and your website says 50 cm, they'll notice.
Six listing problems that really start with product information:
🔗 akeneo.com/blog/common-amazo…
#PIM #Amazon #eCommerce


















