Logistic Giant Adopts AI Powered Rezo For Automation

Rezo is a new-age smart ticketing solution, supporting customisation to suit internal business cases like reading from Kinesis, triggering dynamic code. At the same time, Rezo is able to provide us the barebones functionality that comes with the most popular ticketing tools available commercially. Their development turnaround time is in days vs months for most existing solutions. We are extremely happy to be using Rezo and have implemented 10+ processes to drive productivity with smart dispatch.

Bhavesh Manglani,
Co-Founder, Delhivery


About Delhivery
Delhivery is India’s largest logistic company offering extensive services ranging between last mile deliveries, third party fulfilment and warehousing services. These services enable the seller and the consumer to connect faster. Delhivery handles over 350,000+ shipments per day for 150,000 sellers, 3000+ clients across 1200+ cities.

With SLA’s ranging from minutes to couple of days, Delhivery agents works
24 x 7 to give their customers a great experience. In the past, Delhivery was working with a leading ticketing system to handle their customer service inquiries. However, as a fast growing company, they were looking for a solution that would be scalable across functions, streamline internal coordination across various functions, reduce the dependency on agents working style and work towards automation. In addition, Delhivery needed a solution that would give them a health check of their various functions, possibilities of performing root cause analysis while continue their journey towards being a SLA driven organisation.

Solutions by Rezo
To streamline internal coordination across function, integrate tickets from across multiple channels and an attempt to reduce the average handling time, the following solutions were rolled out:

– Ticket creation from email, api, portal, etc. to facilitate integration of tickets from multiple sources under a single platform.
– Categorisation of the tickets basis the content of the ticket. Auto-categorisation helps map tickets to correct agents for actionability resulting in lower TAT.
– Routing tickets to agent basis the issue type, location, client, etc., helping Delhivery leverage their center of excellence for each function and best utilise the strengths and knowledge-base of agents.
– Automated workflows for processing service requests – Travel forms, HR, Consumable Request forms, etc.
– Scaling the solution across multiple functions and extensively use Rezo for streamlining their internal processes.

With Rezo, Delhivery has been able to streamline processes across multiple functions. The auto-routing feature basis the issue type, location, client is helping leverage the strengths and knowledge of the agents to its best. Sophisticated analytics allows stakeholders to access the performance of the functions, benchmark performance against their targets, perform root cause analysis and prfioritize interventions to improve performance, if needed. Though early to measure the gains but automated workflow for recurrent queries will free up manpower that could be best utilised for more human intensive job.

Rashi Gupta (Ph.D) on Linkedin
Rashi Gupta (Ph.D)
Rashi is a co-founder at Rezo.ai. She is a data science professional with over 16 years of experience in both academic and corporate. Over these years, she has worked as Assistant Professor, Lead Data Scientist and as an analyst. She works with enterprises to develop IP lead products and newer solutions/prototypes. With expertise in Text Analytics, Machine Learning and Bayesian Methodology, Rashi has designed and developed models which have been published in world renowned journals. Rashi holds her doctoral from University of Helsinki and double masters from IIT Delhi.