<6 months
payback period
$4.47M
present value of benefit
$3.54M
net present value
382%
return on investment
Algolia commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying its Search and Discovery platform.
<6 months
payback period
$4.47M
present value of benefit
$3.54M
net present value
382%
return on investment
Among the common challenges encountered with built-in search functions provided by e-commerce platforms or open-source technology:
Slow download speeds for online stores and in-store apps.
Complex and restrictive search capabilities.
Siloed infrastructure with no standardization of data.
Out-of-hand total cost of operations.
Too much manual labor required for merchandising.
Burdensome customization and localization.
Interviewees’ organizations searched for a solution that could:
Scalable during peak shopping periods
Fast search improved in-store, hybrid retail, and mobile experience
User-friendly analytics provide insights more immediately
Merchandisers are able to complete tasks previously done by development teams
Reduced workloads on other systems
Reduced workloads on other systems
Incremental revenue uplift from re-ranking search
859.1K$
Incremental revenue uplift from upselling recommendations
1200K$
Merchandiser time savings from automation
225.6K$
Developer time savings building new apps
1600K$
Developer time savings on maintenance
549K$
The e-commerce industry is highly competitive and challenging. Companies that take a headless, component-based approach to ecommerce can more readily keep up with customer expectations and quickly expand into new channels and markets.
Global Director
E-Commerce and CRM @ luxury sportswear