Delivery platform DoorDash was hit with a supply shock in March 2020, as restaurant dining was shut down due to the pandemic. Thousands of restaurants scrambled to be onboarded onto DoorDash, creating a backlog of menu-digitization that DoorDash's team could not handle alone.
Invisible deployed a blend of people and technology to rapidly ingest huge amounts of unstructured data from vendors with humans in the loop, transforming over 1.5M data points per month with custom and off-the-shelf tooling.
Onboarding improved by 233% and enabled expansion into three new markets. In the same period, DoorDash exploded their marketshare from 16% to 53%, while reducing onboarding costs by over 50%.
One of the world's largest retailers, attracting over 50 million online visitors per month, had huge volumes of third-party product listings that contained missing and erroneous data fields that prevented thousands of products from appearing on search engines.
Invisible applied generative AI to perform the heavy lift data enrichment steps at an unparalleled scale and also to flag data containing errors. Our platform wove in these AI-driven steps with tasks performed by skilled operators that required a finer touch.
Our client saw near-immediate ROl. In 30 days, 3,100+ dead-stock items generated nearly $1M in revenue. The next 10,000 products outperformed in their category by 139.54%, netting $21K in daily sales. The 44% of SKUs entered page one for search results, increasing visibility and sales velocity.
Airspace specializes in urgent deliveries oftentimes organs and other lifesaving medicines. Their dispatch process was highly manual, consisting of eight cumbersome steps to ensure each vendor along the chain was booked and managed precisely.
Invisible consolidated the process into four steps, hired specialized dispatch operators, and automated 20% of the process. As a result, the client achieved sub two minute response times, providing vendors and end customers with the highest quality delivery experience.
Efficiently handled ~ 10,000 dispatch requests a month, and decreased dispatch times by over 63%.
Bungalow faced a sudden surge in demand in prominent urban areas, but encountered insufficient supply on their website. The team had to manually review property features to identify suitable options for their platform and user preferences, resulting in a time-consuming and inefficient process.
To address this, we developed a custom image recognition automation to scour the internet, pinpointing suitable properties for acquisition. Our human-in-the-loop QA process guaranteed that the results aligned perfectly with expectations.
Tripled inventory at 50% cost compared to the previous solution, driving significant expansion for the platform.
Getro receives a daily influx of 1.5 million job descriptions, which are sorted and displayed for users. Ensuring accurate and up-to-date job information is crucial for optimal platform functionality, requiring a high-volume of manual QA.
Invisible runs standardized daily processes to QA job boards and enrich job posts with key data points. Altogether, Invisible manually QA or enriches 100k+ job descriptions per year.
Invisible's services provide tangible benefits for Getro by freeing up internal resources, reducing costs associated with high-volume, repetitive tasks, and improving the overall user experience on the platform.
Headway seamlessly matches patients to mental health providers and were required to validate coverage of new patients' insurance. As Headway scaled, internal teams were spending too much of their time validating insurance, causing poor patient experience and long reimbursement cycles.
Invisible optimized the workflow delivering 3x efficiency through batching and parallel processing. We triaged customer tickets by state and insurance provider and engaged our skilled global workforce to validate insurance on Headway's behalf.
Optimized Headway’s workflow, resulting in 8x faster claims processing than previous vendors. Furthermore, Invisible achieved 37% cost reduction compared to the internal team and a 57% cost reduction compared to the previous BPO provider.
Klarna faced a challenge of understanding its market penetration relative to competitors in the buy now, pay later (BNPL) industry. Analyzing payment options across numerous websites proved to be a complex and manual task.
Invisible deployed a custom scraping tool to monitor hundreds of eCommerce sites, providing the company with valuable insights into competitors' market share and identifying new opportunities for targeted expansion.
The company's growth team gained bespoke competitive intelligence, enabling them to identify strategic areas for growth. Our solution delivered a 99.3% accuracy rate while reducing costs by 60% compared to the previous vendor, with faster turnaround times.
NASDAQ introduced a new product that came with a lengthy two month onboarding cycle, primarily due to nonstandardized data. This process consumed valuable engineering time and resulted in a subpar customer experience.
Invisible implemented a comprehensive integration solution, enabling seamless interoperability between diverse data platforms, ensuring accuracy and reliability through stringent quality control measures.
With our partnership, Nasdaq reduced onboarding times by 63%, saving over 10,000+ hours of engineers' time previously spent on non-engineering activities. The client was able to compete with incumbents by offering superior proprietary data for their 400,000+ clients.
As Rappi expanded into new markets, their cost of acquiring customers skyrocketed. Previous outsourcing attempts failed due to inadequate contact data availability. The company required a versatile partner to effectively reduce acquisition costs and sustain growth.
Invisible devised a comprehensive turnkey solution that rapidly scaled lead volume by 10x within five weeks. The solution tackled data quality, operational efficiency, and seamless onboarding, incorporating a customized WhatsApp integration for lead validation and an OCR tool for smooth onboarding.
Rappi successfully expanded to nine countries, achieving a remarkable 30% higher conversion rate compared to their previous benchmark.
Rhino needed support to scale back office work, including onboarding, payment disputes and user record management with no loss of quality.
We developed two custom automations and redesigned the dispute resolution process. Invisible's first automation delivered a complete end-to-end capability for address validation, requiring no manual oversight. The second automation reduced user record updating and payment disputes.
Through automation and process orchestration, we delivered 10x ROI for the client in reclaimed disputes. The bespoke automations decoupled scaling from increasing costs, bringing operational excellence to a critical back office problem.
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