Why parcelLab?
Discover why parcelLab is the go-to post-purchase partner for top retailers across the globe
Why parcelLab?
Discover why parcelLab is the go-to post-purchase partner for top retailers across the globe
Why parcelLab
Why top retailers choose parcelLab over the rest
AI and innovation
Transforming post-purchase with AI
PPX maturity curve
Discover where you stand on the curve
PPX Institute
Turn transactional relationships into customers for life
Post-purchase audit
Experience your brand the way your customers do
Platform
Platform support
WHAT'S NEW
Meet the platform
The industry’s first and only PPX platform tailor-made for retailers
Benchmarking
Benchmark against the industry in real-time
Copilot
Turn delivery anxiety into customer satisfaction with AI
AI Email Editor
Streamline operations and reduce complexity with AI-powered automation
Campaign Manager 2.0
Run campaigns that drive revenue
Smart Survey
Collect feedback and drive improvements
Enhance delivery experience
Seize control of your delivery experience
Track & communicate
Keep your customers engaged
Set up a branded tracking portal
Keep customers in your ecosystem
Create personalized journeys
Deliver the right message, at the right time
Run targeted campaigns
Create campaigns that convert
Predict delivery delays
See delivery issues before they happen and take proactive action
Streamline claims management
Reclaim time, revenue, and customer trust
Resolve customer inquiries
Empower your customer service teams
Make returns seamless
Transform customer dissatisfaction into revenue retention by digitizing returns and exchanges.
Track and inform returns status
Create a seamless returns experience that retains customers
Self-service returns portal
Let customers register returns with ease
Personalize returns journey
Encourage exchanges over refunds
Forecast returns volume
Anticipate return patterns before they happen
Offer flexible returns
Give your customers versatile return options that cater to their preferences
AI-powered post-purchase
Optimize every post-purchase interaction with parcelLab's AI agents
Execute with AI
Harness the power of AI agents
Predict with AI
Stay ahead with real-time insights & forecasts
Simplify with AI
Cut complexity & streamline operations
Personalize with AI
Deliver tailored experiences
Solutions
Reduce WISMO & WISMR calls
Keep customers in the loop & support smarter
Turn returns into revenue
Make returns seamless, maximize revenue
Manage complex post-purchase scenarios
Handle exceptions, claims & logistics
Optimize post-purchase campaigns
Boost engagement & drive conversions
Enhance personalization and engagement
Create 1:1 tailored experiences
Customer success stories
Join the leading brands worldwide. You're in good company.
Resources
Company
Why parcelLab?
Discover why parcelLab is the go-to post-purchase partner for top retailers across the globe
Why parcelLab
Why top retailers choose parcelLab over the rest
AI and innovation
Transforming post-purchase with AI
PPX maturity curve
Discover where you stand on the curve
PPX Institute
Turn transactional relationships into customers for life
Post-purchase audit
Experience your brand the way your customers do
WHAT'S NEW
Meet the platform
The industry’s first and only PPX platform tailor-made for retailers
Benchmarking
Benchmark against the industry in real-time
Copilot
Turn delivery anxiety into customer satisfaction with AI
AI Email Editor
Streamline operations and reduce complexity with AI-powered automation
Campaign Manager 2.0
Run campaigns that drive revenue
Smart Survey
Collect feedback and drive improvements
Enhance delivery experience
Seize control of your delivery experience
Track & communicate
Keep your customers engaged
Set up a branded tracking portal
Keep customers in your ecosystem
Create personalized journeys
Deliver the right message, at the right time
Run targeted campaigns
Create campaigns that convert
Predict delivery delays
See delivery issues before they happen and take proactive action
Streamline claims management
Reclaim time, revenue, and customer trust
Resolve customer inquiries
Empower your customer service teams
Make returns seamless
Transform customer dissatisfaction into revenue retention by digitizing returns and exchanges.
Track and inform returns status
Create a seamless returns experience that retains customers
Self-service returns portal
Let customers register returns with ease
Personalize returns journey
Encourage exchanges over refunds
Forecast returns volume
Anticipate return patterns before they happen
Offer flexible returns
Give your customers versatile return options that cater to their preferences
AI-powered post-purchase
Optimize every post-purchase interaction with parcelLab's AI agents
Execute with AI
Harness the power of AI agents
Predict with AI
Stay ahead with real-time insights & forecasts
Simplify with AI
Cut complexity & streamline operations
Personalize with AI
Deliver tailored experiences
Reduce WISMO & WISMR calls
Keep customers in the loop & support smarter
Turn returns into revenue
Make returns seamless, maximize revenue
Manage complex post-purchase scenarios
Handle exceptions, claims & logistics
Optimize post-purchase campaigns
Boost engagement & drive conversions
Enhance personalization and engagement
Create 1:1 tailored experiences
Customer success stories
Join the leading brands worldwide. You're in good company.
Resources
Company
What new e-commerce trends will the new year bring? What can we look forward to? Here are the 4 most important e-commerce trends in 2019.
Opinions differ on the subject of artificial intelligence (AI) in e-commerce. Many see great potential in it, while others are skeptical about the topic. AI is taking e-commerce to a whole new level. Whether with 3D avatars or virtual fashion advisors – the possibilities are almost limitless. Even AI tools that collect and analyze behavior-based customer data are one of the absolute e-commerce trends next year. But also Chatbots, as a tool in customer communication, Voice Commerce or the Parcel delivery by drone will advance even further next year.
###Performance of the 100 largest German online stores
The personal advice that customers otherwise only find in bricks-and-mortar retail can thus be transferred to online retail. Amazon already published a virtual fashion assistant in the USA, the so-called “Echo Look”. This is a pilot project of the company. The assistant analyzes the user’s outfit and makes fashion recommendations based on it. This works through algorithms and the accumulated knowledge of a stylist.
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Augmented reality (AR) continues to make inroads into the e-commerce environment. AR aims to mimic the haptic shopping experience of brick-and-mortar retail that is missing in e-commerce. According to a study, 74 percent already know what augmented reality is all about – however, only 26 percent have already used the trend in some form or in some area. When shopping online, 18.2 percent have already used the new technology.
The use of AR is particularly advantageous and useful in the fashion or furniture sector. Items of clothing or furniture can be realistically presented to the user. However, due to the high costs, the application mainly makes sense for larger companies.
The fashion label Zara presents its new fall/winter collection in selected stores with the help of augmented reality. How does it work? Simply download the Zara app, point the camera from the app at a shop window (of participating stores), for example, and look for the Augmented Reality icon. The app then projects the desired items of clothing onto the model without having to try them on yourself.
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Advanced product filters help customers find exactly what they’re looking for in the shortest amount of time. Additional filters, such as material or pattern, can help in the search for the right garment. With advanced product filters, online retailers can stand out from their competition and make online shopping even easier and faster for their customers.
Fashion online retailer asos is one of the best practice examples of this e-commerce trend in 2019. The company already uses advanced product filters, such as style or length of the dress or garment it is looking for.
asos already uses a whole range of different product filters. (Source: asos)
Online retail does not stop at social networks, such as Instagram, Pinterest or Snapchat. More and more users are shopping on social media. Anyone who has scrolled through their feed lately has certainly spotted an ad or two. But social media have now even discovered their own shopping features for themselves.
Pinterest wants to improve social shopping with “Shop the Look.” The creator of the pin can link multiple goods on his post. However, the shopping feature is not really used yet.
With Instagram Shopping, you’re just a few clicks away from placing your online order. Instagram’s new shopping feed shows users products and outfits they might like.
Instagram Shopping is becoming increasingly popular. (Source: Instagram)
On Snapchat, shopping works a little differently. You walk through the city and see someone with shoes that you would also like. Just take a picture of the wearer and Snapchat recognizes the product and takes the searcher to the product page on Amazon. However, if you don’t want to just photograph strangers without their permission (understandable), you can also snap products you’ve seen online or in a magazine.
E-commerce will continue to evolve over the next few years. Some trends will endure, while others will mutate into a flash in the pan. It will also become increasingly important to stand out from your competitors with the latest features and trends. The opportunities are great, but many trends come at a high cost. That’s why often only the very big companies can include all trends in their repertoire.
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