Retailers, along with used product resellers, non-profits, thrifters and liquidators, want to capitalize on this thriving reCommerce market to cut the billions of dollars going to waste. AI and machine learning has become the answer. Here are the key ways AI is enabling the reCommerce industry to scale.
Attribute Identification.
Using AI and machine vision, resellers are able to quickly take what was once a very manual process of identifying and assigning product attributes and automate this identification process. Product characteristics such as color, style and even brand can be quickly assessed, automatically, using simple photographs. This can cut hundreds of hours off product processing when used for large batches of items, such as returns, donations and overstocks.
Product Valuation.
Returned, donated and used items typically don’t have designated tags or SKUs that can identify the value or assign a price. Using AI technology, identified attributes can be used to scour data sets across resale markets to properly identify current item value and set a market price. This too takes hours off of the traditionally manual product pricing process and is very effective at optimizing resale revenue.
Marketplace Listing Automation.
Product marketplaces from Poshmark, threadUP and The RealReal to eBay, OfferUp and Facebook Marketplace all require specific adjustments and characterizations to effectively list on their sites. AI technology and automation is being used to produce fully compliant, SEO optimized listings for each marketplace so that products are showcased effectively, no matter where they are being sold.
Empowering Listing Volume.
Listing products for resale is a numbers game. And with so much product volume to move, retailers specifically need to optimize their listing abilities to recoup lost profits from returned goods. AI empowers scalability and incredible volume, enabling sellers to move from a 5,000-item turn a month to exponentially increase overnight.
Lowers Labor Costs.
The cost of human labor has been the number one barrier to increasing reCommerce scale. Through AI and machine vision technology, resellers are closing the labor gap and optimizing profitability without the costs, challenge and difficulty of recruiting workers or shipping product offshore to perform processing. This further reduces costs and enhances rapid growth through product processing scale.
You can read more about Ways AI Is Powering ReCommerce here.
Teknita has the expert resources to support all your technology initiatives. We are always happy to hear from you.
Cookies refer to one or more small pieces of data that identify your computer to a website with a unique code. The cookies are sent by a web server to your device while you’re on that server’s website. Your computer stores that cookie and, when you visit that website again, the server can recognize that the device is the same one as was used previously.
Cookies are generally broken into two groups:
Session cookies, which expire immediately after you’re done being online
Persistent cookies, which stick with you during many different web sessions
Cookies can be extremely useful. For example, authentication cookies, allow a user who logs into a website to click and view multiple pages on the site without having to re-authenticate each time he or she tries to access another page requiring authentication. Cookies can also allow a site to remember a user’s username without authenticating the user, or other personalization preferences.
Cookies are heavily utilized by marketing firms who can target your interests and buying habits. Cookies are the reason why you might be eyeing a new pair of sandals on one website and then see ads for that same pair of sandals when you’re on other websites. That proves cookies aren’t always great. Privacy issues are one thing to consider. Many sites now use third-party cookies. Many sites, for example, may present banner ads from the same ad provider, and the code from that provider can send and receive cookies to run on all of those sites, enabling it to track your activity across multiple sites. According cybersecurity specialists, it is best to know who is following your activities, and you should review and clean out cookies that may be unwanted.
You can read more about cookies and how to delete them here.
Teknita has the expert cybersecurity specialists to answer all your questions. We are always happy to hear from you.
Operational technology (OT) is the use of hardware and software to monitor and control physical processes, devices, and infrastructure. Operational technology systems are found across a large range of asset-intensive sectors, performing a wide variety of tasks ranging from monitoring critical infrastructure (CI) to controlling robots on a manufacturing floor. OT is used in a variety of industries including manufacturing, oil and gas, electrical generation and distribution, aviation, maritime, rail, and utilities.
Operational technology security is defined as, “Practices and technologies used to (a) protect people, assets, and information, (b) monitor and/or control physical devices, processes and events, and (c) initiate state changes to enterprise OT systems.” OT security solutions include a wide range of security technologies from next-generation firewalls (NGFWs) to security information and event management (SIEM) systems to identity access and management, and much more.
Often, IT and OT networks are kept separate, duplicating security efforts and eschewing transparency. Typically, OT networks report to the COO and IT networks report to the CIO, resulting in two network security teams each protecting half of the total network.
Robotic process automation (RPA) frees human workers to focus on the things they do best and enjoy more, like interacting with customers and collaborating on innovative business projects.
There are 3 benefits of RPA for employees:
Time savings IT Central Station members are fully utilizing RPA so employees can concentrate on more valuable work. For example, Larry H., a systems administrator at a large insurance agency said: “We’ve got robots now taking 10 seconds to do what people were taking four to six minutes to do. It’s a whole department of people that are now free to do other things.”
Happier employees IT Central Station members have seen an increase in employee satisfaction thanks to RPA. An RPA developer at a consultancy explained that employees who work alongside the bots are usually a lot happier because they have to juggle fewer tasks. The robots are there to make people feel like people and not like robots, doing the same thing over and over and not enjoying what they’re doing.
Combating monotony at work Doing the same thing over and over every day can be tough on workers. UiPath allows employees to delegate mundane tasks to their personal automations. RPA saves time and allows them to perform more important functions. Some employees benefit because sometimes they get bored with the repetitive jobs they have to do at work. Now, they can use automation and “apply their brains somewhere fruitful”.
Express design in Power Apps is the ability to instantly generate low-code apps directly from design files and images. Now customers can create web and mobile apps from a broad range of inputs—including paper forms and PDFs, sketches on the whiteboard, and even professionally-designed assets in Figma. Express design adds to the many ways in which Power Platform is applying advanced AI to assist more people in driving innovation for their teams and businesses.
Power Apps express design is like an AI-powered copilot helping create apps alongside you.
Here’s how it works:
Get going with a variety of content types Start with a paper form, PowerPoint, PDF, a screenshot of a UI from a legacy app, or even a picture of a hand-drawn app that you’ve sketched out on paper. Or point to a design file in Figma.
Advanced AI will scan your file Using cognitive AI models that are trained to recognize common application elements, Power Apps will automatically generate an app with a working user experience and data schema in Microsoft Dataverse.
Tune the model to get exactly what you need From the AI-generated starting point, make quick inline adjustments.
Seamlessly connect to all of your data Easily adapt and configure the application using low code. Use more than 675 prebuilt connectors to integrate with your existing systems including SAP, Salesforce, and SQL.
Add as many screens as you like To add more screens to the app, simply upload additional files, or create them easily in the low-code Power Apps Studio.
You can read more about AI-powered express design here.
Teknita has the expert resources to support all your technology initiatives. We are always happy to hear from you.
