Redeeming the mis-judged devil

Redeeming the mis-judged devil

Improving delivery predictability by 96%

In the competitive kirana market, celebratory days are rare. However, when GMV realization increases by an average of 8%, alongside a rise in the NPS of the blue-collar workforce, you know something is cooking.

In the competitive kirana market, celebratory days are rare. However, when GMV realization increases by an average of 8%, alongside a rise in the NPS of the blue-collar workforce, you know something is cooking.

The perfect storm

The perfect storm

Ever walked into an office floor in complete chaos? It's one of those days when a meticulous coworker, immersed in metrics, brings to light issues that send entire teams into a frenzy. As a designer for a wholesale, supply chain-focused, customer-centric organization, I unwittingly found myself in a meeting about to erupt into a perfect storm.

On the face of it, the agenda of the meeting was pretty straight forward - where is my delivery? The reason this was being brought up was

Ever walked into an office floor in complete chaos? It's one of those days when a meticulous coworker, immersed in metrics, brings to light issues that send entire teams into a frenzy. As a designer for a wholesale, supply chain-focused, customer-centric organization, I unwittingly found myself in a meeting about to erupt into a perfect storm.

On the face of it, the agenda of the meeting was pretty straight forward - where is my delivery? The reason this was being brought up was

Defining the devil

Defining the devil

Our customer delight team was inundated with queries, with resolution times sometimes exceeding an hour. Agents struggled to meet the basic target of answering all customer calls in a day. The message was clear: we had anxious customers who repeatedly faced broken delivery promises.

Simultaneously, the helpline email overflowed with hundreds of complaints. Customers reported instances of delivery personnel making fake deliveries, delivering to other stores in the area except theirs, speaking rudely, and arriving when they weren't available.

The gravity of the situation weighed on every member present in that meeting. We recognized that overcoming this challenge wouldn't be easy, as research unveiled the complexities inherent in last-mile operations.

Our customer delight team was inundated with queries, with resolution times sometimes exceeding an hour. Agents struggled to meet the basic target of answering all customer calls in a day. The message was clear: we had anxious customers who repeatedly faced broken delivery promises.

Simultaneously, the helpline email overflowed with hundreds of complaints. Customers reported instances of delivery personnel making fake deliveries, delivering to other stores in the area except theirs, speaking rudely, and arriving when they weren't available.

The gravity of the situation weighed on every member present in that meeting. We recognized that overcoming this challenge wouldn't be easy, as research unveiled the complexities inherent in last-mile operations.

Problems uncovered

Problems uncovered

Predictability

Customer's delivery and delivery hero's day both longed for predictability

Customer's delivery and delivery hero's day both longed for predictability

Route adherence

Delivery heroes do not follow the system-predicted route, as all touchpoints are available at once

Delivery heroes do not follow the system-predicted route, as all touchpoints are available at once

Vehicle loading

The loading of the vehicle is not optimised for accessibility or movement of delivery hero inside the vehicle

The loading of the vehicle is not optimised for accessibility or movement of delivery hero inside the vehicle

Location accuracy

Waste a lot of time in searching for the exact location of the customer

Waste a lot of time in searching for the exact location of the customer

Lack of transparency

In salaries for delivery heroes with no knowledge of the amount or the date of credit

In salaries for delivery heroes with no knowledge of the amount or the date of credit

Training of delivery hero

Lacks understanding on scenarios and practicality of experiences

Lacks understanding on scenarios and practicality of experiences

Empathising with the devil

Empathising with the devil

The barrage of problems that were unveiled would easily unnerve anybody working in this space. There was an urgent need to triage and prioritise these problems. But, how would you go about that?

Adopting a user-centered design approach, with the user as the focus, we analyzed the problems.

The predominant theme that emerged was the critical need to introduce predictability into the lives of our busy, multitasking kirana store owners. With predictability as the guiding principle, the first issue to address was ensuring that the organization promised customers a fixed delivery time and consistently delivered on it.

The barrage of problems that were unveiled would easily unnerve anybody working in this space. There was an urgent need to triage and prioritise these problems. But, how would you go about that?

Adopting a user-centered design approach, with the user as the focus, we analyzed the problems.

The predominant theme that emerged was the critical need to introduce predictability into the lives of our busy, multitasking kirana store owners. With predictability as the guiding principle, the first issue to address was ensuring that the organization promised customers a fixed delivery time and consistently delivered on it.

Finding the crux of the problem

Finding the crux of the problem

Now, the delivery system we aimed to reimagine resembled a two-point perspective problem. The first point was the customer, and the second was the delivery hero—both longing for predictability.

Now, the delivery system we aimed to reimagine resembled a two-point perspective problem. The first point was the customer, and the second was the delivery hero—both longing for predictability.

Factors affecting predictability

Factors affecting predictability

Inaccurate planning

Planning was not based on real-time traffic or data, or took into account returns/re-attempts

Lack of visibility

A delivery hero would not know when the customer would not be available to take deliveries

High door step time

There were multiple instances where there was miscommunication or low information within the customer touchpoint - why a certain product looks different, or how to redeem their JumboCash balance

Lack of incentives

Delivery heroes were not incentivised or enabled to follow the route suggested

Operational challenges

Often there were delays in line haul vehicles arriving with goods to distribution hubs

Information overload

Delivery heroes were flooded with delivery touch points with little to no guidance

Trip assignment

Trip assignment being at the discretion of hub managers instead of a system doing the job brought in unfairness and bias

Vehicle loading

The loading of the vehicle is not optimised for accessibility or movement of delivery hero inside the vehicle that led to increased time during deliveries

Low location accuracy

Waste a lot of time in searching for the exact location of the customer

Solving for predictability

Solving for predictability

Geo fencing

Geo fencing

With the advent of geofence, now a system knew where a delivery hero was at all times, starting from arriving at the hub.

With the advent of geofence, now a system knew where a delivery hero was at all times, starting from arriving at the hub.

Fixed working hours for every delivery hero

Fixed working hours for every delivery hero

This meant computing and predicting real-time 



• Delivery hero check-in, check-out time
• Travel time
• Doorstep time
• Delivery hero idle time/relief time, and
• Accurate delivery locations

This meant computing and predicting real-time 



• Delivery hero check-in, check-out time
• Travel time
• Doorstep time
• Delivery hero idle time/relief time, and
• Accurate delivery locations

Prep for the trip - checklist

Prep for the trip - checklist

From a system perspective, this made sure that a delivery hero was prepared for the trip with
• Vehicle requirements
• Delivery requirements
• Personal care requirments

From a system perspective, this made sure that a delivery hero was prepared for the trip with
• Vehicle requirements
• Delivery requirements
• Personal care requirments

Progressive disclosure

Progressive disclosure

Now, the delivery hero was working with an intelligent system predicted route. The key here was to allow the delivery hero to focus on one delivery at a time

Now, the delivery hero was working with an intelligent system predicted route. The key here was to allow the delivery hero to focus on one delivery at a time

Check-in/out experience

Check-in/out experience

With ML improving location accuracy, now the customer could be intimated when the delivery hero was near by

With ML improving location accuracy, now the customer could be intimated when the delivery hero was near by

Cut door step time

Cut door step time

Each delivery was made time-bound with ML predicting required delivery times to incentivise lower door step times. Helplines to jump in when this time is exceeded

Each delivery was made time-bound with ML predicting required delivery times to incentivise lower door step times. Helplines to jump in when this time is exceeded

Karma points

Karma points

Incentivising the delivery hero for adherence to system generated timings, Karma points were introduced to reward delivery heroes at each step

Incentivising the delivery hero for adherence to system generated timings, Karma points were introduced to reward delivery heroes at each step

Take-aways

Take-aways

Happiness

Customers being happy is of utmost importance

Customers being happy is of utmost importance

Predictability

Having predictability in a work day makes for a better employee

Having predictability in a work day makes for a better employee

Visibility builds trust

In supply chain last mile chaos, there can be a million problems for any actor. Building visibility for processes helps onboard these actors with trust

In supply chain last mile chaos, there can be a million problems for any actor. Building visibility for processes helps onboard these actors with trust

Perspectives

A problem may not always have a singular perspective. Diving deeper into the lives of actors and viewing it from different lens can unravel deeper insights

A problem may not always have a singular perspective. Diving deeper into the lives of actors and viewing it from different lens can unravel deeper insights

Want to know more about this project?

Want to know more about this project?