Why parcelLab?
Discover why parcelLab is the go-to post-purchase partner for top retailers across the globe
Forecast returns volume
Predict future returns and turn insights into foresight
Anticipate return patterns before they happen. Unlike other solutions that focus on historical returns data, parcelLab’s AI-powered forecasting actively predicts and adapts to return trends, allowing retailers to take action before challenges arise.
What we deliver
Reduce operational bottlenecks and financial risks with smarter returns forecasts
Anticipate returns with precision
Predict return volumes up to 8 weeks in advance, leveraging AI-driven anomaly detection and data from historical trends, carrier scans, and seasonal insights to stay ahead of operational challenges.
Optimize resource allocation
Eliminate unnecessary operational expenses and bottlenecks by accurately forecasting return surges. Optimize warehouse staffing and workflows and avoid extra charges from 3PL providers through efficient resource management.
Accelerate processing and improve CX
Faster returns processing leads to quicker refunds and restocking, enhancing the customer journey. AI-powered insights help streamline exchanges, reducing preventable returns and improving satisfaction.
Gain strategic financial & inventory insights
Align marketing campaigns, stock replenishment, and business planning with forecasted return volumes. Ensure profitability by predicting return-related revenue impact and minimizing financial risks.
Intelligent return forecasts that drive real results
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Increase in warehouse efficiency
Retailers using parcelLab’s predictive returns forecasting optimize warehouse workflows, reducing congestion and improving operational throughput.
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Reduction in operational costs
By leveraging AI-driven return forecasts, brands cut excess expenses related to staffing, inventory handling, and reverse logistics management.
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Boost in customer satisfaction (CSAT)
Faster return processing and improved resource allocation result in higher customer satisfaction and fewer service inquiries.
Ready to get started?
Turn your delivery experience into a competitive advantage
With parcelLab you can
Forecast with AI-driven precision for peak efficiency
Stay ahead of return volumes with predictive insights that help you plan smarter, act faster, and optimise operations across teams.
KEY FEATURES:
- Real-time predictions ensure brands are prepared for any return scenario, from peak seasons to unexpected surges.
- 8-week forecast horizon provides long-term visibility, allowing retailers to make proactive adjustments in staffing, inventory management, and marketing campaigns.
- Custom forecast horizons allow retailers to define prediction windows that align with operational cycles, incorporating historical data trends.
- Faster refunds and optimized inventory cycles boost customer satisfaction and improve revenue retention.
Prevent costly disruptions with proactive anomaly detection
Stay in control of returns with intelligent forecasting tools that adapt to real-time trends, seasonal peaks, and unexpected anomalies.
KEY FEATURES:
- Unusual return patterns are identified with 80% precision, allowing retailers to act before operational disruptions occur – preventing warehouse congestion, improving processing speeds, and ensuring more predictable returns management.
- Automated anomaly detection continuously monitors return patterns, adjusting forecasts dynamically to prevent sudden bottlenecks and ensuring warehouse resource management remains efficient.
- Sensitivity adjustment options provide flexible forecast settings (e.g., balanced or conservative), allowing retailers to fine-tune predictions as confidence in the model grows.
- Peak period optimization integrates promotional and seasonal sales data to forecast peak return volumes and avoid operational overload.
Turn return trends into actionable business intelligence
Gain deep visibility into return performance with insights that drive smarter logistics, product improvements, and revenue planning.
KEY FEATURES:
- Granular reports on return trends by category, location, and carrier empower smarter logistical decision-making.
- Peak period optimization integrates promotional and seasonal sales data to forecast peak return volumes and avoid operational overload.
- Actionable insights into return reasons help businesses understand return drivers, enabling targeted product improvements and return reduction strategies.
- Revenue impact forecasting allows retailers to predict return-related revenue losses and optimize financial planning.
Return forecasting you can trust
Make confident, data-backed decisions with accurate return forecasts that continuously improve over time.
KEY FEATURES:
- Forecasting models achieve an accuracy rate of 85%, minimizing uncertainty in warehouse planning and ensuring more reliable predictions.
- Advanced time series forecasting analyzes historical trends, seasonality, and carrier data to improve return volume forecasts.
- Tracks and validates prediction accuracy with advanced metrics like Mean Absolute Percentage Error (MAPE), ensuring continuous improvement.
Seamlessly integrate with existing systems
Quickly connect your existing tech stack and start centralizing returns insights without disrupting operations.
KEY FEATURES:
- Seamless integration with warehouse management systems (WMS), eCommerce platforms, and CRM systems centralizes returns data and actionable insights.
- 1-week implementation time for retailers using parcelLab’s Self-service returns portal or Track & Communicate, with preloaded training data for rapid onboarding.
Let parcelLab Copilot do the heavy-lifting for you
Built for Experience Designers dedicated to post-purchase excellence
With parcelLab’s delivery experience platform, brands can take full control of tracking, updates, and customer communication—offering a branded portal, real-time notifications, and complete shipment visibility to reduce WISMO, build trust, and turn deliveries into a seamless brand experience
Why users love parcelLab
Over 150 reviews on G2 and recognition as a Leader in post-purchase prove we’re making a real impact. We were even named one of G2’s Top 50 Supply Chain & Logistics Software products for 2025. But don’t take our word for it – here’s what our customers say.
parcelLab user, IT
Validated reviewer via G2
“Switching to parcelLab has made handling returns simpler for us. The platform has a straightforward process. We were able to adjust some settings to match our preferences for handling returns. Compared to before, managing returns with parcelLab has been a more organized and less stressful experience.”
parcelLab user
Validated reviewer via G2
parcelLab has redefined our strategy, resulting in a notable rise in revenue. The platform facilitates the effortless display of related products and simplifies exchanges, offering more than mere logistic solutions.
parcelLab user, Apparel & Fashion
Validated reviewer via G2
“parcelLab simplifies our entire returns management process. Their specialized features for warranty cases let customers upload photos and set handling rules, streamlining complex issues. Additionally, their exchange features automatically trigger new orders for sizing issues, helping to recover lost revenue. In short, parcelLab efficiently manages our returns and exchanges while also aiding in revenue recovery.”
Rachel T., New Look
Validated reviewer via G2
“parcelLab allows us to communicate to our customers about their orders and returns in a consistent clear and simple way. We can personalise our communications to have our branding. We can run campaigns through PL systems to communicate additional information to customers.”
parcelLab user, Retail
Validated reviewer via G2
“The ability to send personalized notifications has strengthened our customer relationships. Customers appreciate the tailored updates, and it adds a personal touch to our brand.”
parcelLab user, Retail
Validated reviewer via G2
“What I appreciate most about parcelLab is their exceptional approach to managing returns and exchanges. Their “Retain” feature allows for highly customizable return experiences, offering the ability to set return rules, restrictions, exceptions, and refund policies. This level of granularity ensures that I can manage returns exactly the way I want, making the process more efficient and customer-friendly.”
parcelLab user, Retail
Validated reviewer via G2
“Before using parcellab, our communication to our customers about parcel status was far from perfect. Now, we inform them about every step their parcel takes on the way, while also communicating their possibilities of a return, our support hotline and pushing reviews. We also gained valuable insights into the effectiveness of our shipping process.”
Maroš L., Apparel & Fashion
Validated reviewer via G2
“Best tool for multicarrier tracking and return communication to consumers.”
Lothar M., Logistics & Supply Chain
Validated reviewer via G2
“It’s now way easier to handle returns and keep customers informed. The consistent experience across regions is strengthening our brand, and the insights from the data are helping us improve – our customers are happier and coming back.”
Praveen R., Retail
Validated reviewer via G2
“parcelLab has reduced the frustration previously felt by both customers and our customer service team during the returns process. Their solution has brought much-needed transparency.”
parcelLab user
Validated reviewer via G2
“Upon implementing parcelLab, we experienced an immediate ~20% drop in WISMR requests, which significantly lowered the load on our customer service team. Their satisfaction has noticeably improved along with that of our customers.”
What our customers told Forrester
“We lacked control and visibility on this part of the customer experience, especially as we were growing, it was harder to manage the carrier communications data, so we missed traffic and opportunities. There was potential for brand damage from inconsistent messaging and tone, impacting customer satisfaction and brand reputation.”
Senior Business Analyst
Luxury fashion retailer
What Our Customers told Forrester
“We lacked control and visibility on this part of the customer experience, especially as we were growing, it was harder to manage the carrier communications data, so we missed traffic and opportunities. There was potential for brand damage from inconsistent messaging and tone, impacting customer satisfaction and brand reputation.”
Senior Business Analyst
Luxury fashion retailer
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