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Saturday, February 22, 2025

Sarah Assous, Vice President of Product Advertising and marketing, Akeneo – Interview Collection


Sarah Assous is the Vice President of Product Advertising and marketing at Akeneo, the place she drives strategic messaging, positioning, and go-to-market methods. A results-driven chief, she has performed a key function in accelerating firm progress and leveraging advertising and marketing to assist income technology. With experience in content material technique, buyer engagement, and aggressive positioning, she combines creativity and enterprise acumen to ship world-class product experiences.

Akeneo is the product expertise (PX) firm and world chief in Product Info Administration (PIM). Main manufacturers, producers, distributors, and retailers, together with Chico’s, CarParts.com, TaylorMade Golf, Rail Europe, and extra make the most of Akeneo’s clever Product Cloud, app market, and accomplice community to create elevated product experiences via product information enrichment, syndication, and provider information onboarding.

Akeneo is described because the “world’s first clever product cloud”—what units it other than conventional PIM options?

Whereas conventional PIM methods are efficient for centralizing and managing product data, many options wrestle to assist complicated omnichannel methods, dynamic information, and integrations with different eCommerce or information platforms, that means that the PIM simply turns into one other information silo.

The product cloud, however, is a composable suite of applied sciences that helps your entire product file for each dynamic and static information throughout your entire product lifecycle; our versatile, scalable PIM resolution is a vital side of the product cloud, nonetheless it’s just one half.

As a part of Akeneo Product Cloud, we additionally provide an AI-powered provider information onboarding resolution, a syndication platform with the power to activate product data throughout world marketplaces, a safe product portal that allows all stakeholders to entry digital product catalogs on demand, and an in depth community of 150+ integrations. All of those options work collectively to make sure that product information doesn’t dwell in a siloed resolution, however is optimized, enriched, and activated throughout each stage of the product lifecycle, which allows companies to create optimum omnichannel product experiences, drive  larger conversion charges, and enhance buyer loyalty.

How is AI remodeling product data administration (PIM) past simply centralizing information?

Past information centralization, AI is a strong instrument on the subject of PIM because it brings superior expertise to an trade that has beforehand relied on outdated and inefficient instruments. Except for centralized information, we’re seeing AI being utilized in a large capability inside PIM options, together with:

  1. Cleansing and enriching product information, together with de-duplication and information extraction
  2. Producing ready-to-edit content material utilizing the centralized information, guaranteeing product web page alignment with model voice
  3. Translating product content material rapidly and effectively to ship sturdy product experiences at scale in a number of languages
  4. Optimizing product discovery and search performance by bettering pure language processing and understanding person intent

Are you able to stroll us via how Akeneo’s AI-powered Provider Knowledge Supervisor streamlines information assortment and enrichment?

Akeneo’s Provider Knowledge Supervisor (SDM) is designed to streamline the gathering, administration, and enrichment of supplier-provided product data and property by providing a user-friendly portal the place suppliers can add product information and media information, that are then mechanically mapped to the retailer’s and/or distributors information construction. Our system makes use of synthetic intelligence to automate product classification, enrich attributes from descriptions and labels, and normalize information to make sure consistency and accuracy, all of which reduces guide effort, accelerates time-to-market, and enhances collaboration between retailers and suppliers by offering a centralized platform for environment friendly communication and information trade. Because of this, manufacturers and/or producers are arrange for omnichannel success by having constant provider insights throughout methods.

What function does AI play in guaranteeing product information accuracy and consistency throughout a number of channels?

One of the sensible use circumstances of AI at this time is its potential to automate information standardization, enrichment, and validation processes to make sure accuracy and consistency throughout a number of channels. AI-powered algorithms can detect and proper inconsistencies, fill in lacking attributes, and classify merchandise based mostly on predefined guidelines or realized patterns, decreasing guide errors and guaranteeing uniformity throughout marketplaces, eCommerce platforms, print catalogs, and anyplace else you promote. Plus, pure language processing (NLP) and AI-driven search capabilities assist companies higher perceive person intent, enabling them to optimize product descriptions and attributes to match how clients truly search. By analyzing search queries, AI can recommend extra related key phrases, enhance product tagging, and dynamically refine search outcomes, guaranteeing clients discover probably the most correct and compelling product data, finally resulting in larger engagement, conversions, and lowered returns.

What are the largest challenges in implementing AI in product expertise administration, and the way is Akeneo addressing them?

AI depends on high-quality, structured information to generate significant insights, however many companies wrestle with fragmented or incomplete product data. Scalability is one other problem, as AI fashions should repeatedly be taught and adapt to new product information, buyer behaviors, and market developments whereas sustaining accuracy and relevance. Akeneo’s Product Cloud resolution has PIM, syndication, and provider information supervisor capabilities, which permits retailers to have all their product information in a single spot. We additionally leverage AI to enhance information high quality and consistency, guaranteeing that the knowledge fed into AI options is full, correct, and dependable, which may alleviate the issue of getting inconsistent information throughout a number of platforms and taking weight off the retailer below extra guide processes.

With the rise of AI-generated content material, how does Akeneo guarantee model voice and authenticity stay intact?

Whereas AI-generated content material will be extremely helpful, particularly inside search performance and product descriptors, it’s vital to keep up a powerful sense of brand name id when utilizing these instruments. Akeneo ensures that it doesn’t matter what kind of content material we use AI to assist develop, that there’s at all times a human on the opposite aspect to keep up model authenticity. When utilizing AI-generated content material, we actually depend on it as a place to begin to leap off of. With the ability to improve and weave in model messaging all through the content material permits the tone to stay constant throughout channels and provides the advertising and marketing staff time to deal with strategic content material.

What AI-driven personalization methods can manufacturers implement to boost buyer experiences?

Whereas personalization is nothing new to manufacturers, AI and ML expertise permits manufacturers to enter new ranges of buyer personalization to satisfy the excessive client expectations. Realizing the quantity of knowledge that AI instruments can course of, this energy opens the door to allow unprecedented ranges of personalization throughout buyer interactions via information evaluation. Leveraging buyer information on this manner permits AI algorithms to make broader connections throughout buyer order historical past, preferences, and many others., to create these tailor-made product suggestions. AI-powered search and pure language processing also can refine search outcomes by bettering person intent interpretation, bettering discoverability and decreasing friction within the shopping for journey. However it’s vital to keep in mind that with out quite a lot of AI methods and with no sturdy basis of knowledge to coach and assist the AI options, personalizing buyer experiences with this expertise is subsequent to not possible.

How does Akeneo optimize product discovery and search performance utilizing AI?

A superb product search and discovery expertise depends on merchandise being precisely tagged, categorized, and syndicated to the best channels. That’s why we offer native AI capabilities constructed inside Akeneo PIM that allow enriched product information by analyzing current data to fill in lacking attributes, guaranteeing complete and correct product listings. Akeneo SDM additionally gives AI capabilities to make sure that provider information is full, right, and formatted appropriately. And if that wasn’t sufficient, we additionally provide 20+ AI purposes inside our intensive App Retailer that cowl a variety of AI use circumstances, a few of that are customized constructed for Akeneo. These options assist to make sure that the best data is offered to the best clients on the proper time.

What are the commonest bottlenecks in managing product information at an enterprise stage, and the way does Akeneo remedy them?

Though technological developments in product information are huge, many organizations are nonetheless scuffling with guide product data administration. Some main challenges we see enterprises going through embrace managing product data in a number of languages and markets, creating constant and fascinating product descriptions at scale, sustaining accuracy whereas decreasing time-to-market, and coordinating between technical, advertising and marketing and gross sales groups. These challenges make them unable to maintain up with the tempo of at this time’s digital commerce expectations.

With Akeneo, these challenges are largely eradicated. With sturdy AI options, Akeneo is ready to mechanically implement guidelines for language content material translation, in addition to utilizing clever content material technology to permit technical specs to be reworked into considerate summaries, and fascinating advertising and marketing narratives. It’s key to notice that clever content material doesn’t eradicate advertising and marketing groups, however allows them to thrive with a place to begin to personalize AI-generated content material to suit their model in one of the best ways doable.

The place do you see the function of AI in product expertise administration evolving over the following 5 years, and the way is Akeneo positioning itself to remain forward of those modifications?

It’s laborious to foretell 5 years from now understanding how the evolution of AI is shifting on a regular basis. Nonetheless, with the introduction of instruments like Google’s Perplexity, we are able to count on to see the emergence of AI purchasing brokers come to life, the place buyers can analysis, browse, evaluate, and buy merchandise multi function place. As AI and NLP evolve to higher perceive and interpret buyer intent, these personalised search experiences will begin to develop in reputation and dwell alongside conventional search experiences.

Whereas it may be laborious to foretell the longer term, we do know one factor: AI options will at all times fall brief in the event that they aren’t supported by a powerful basis of up-to-date, dependable, and full product data. The outputs created are solely pretty much as good as the information offered, so wherever the evolution of this expertise is headed, step one to success will at all times be creating that single supply of reality for product information, which is the place Akeneo may help.

Thanks for the good interview, readers who want to be taught extra ought to vivit Akeneo.

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