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Developing An Assistive Sales In-Store Solution

Consumers often face the inconvenience of visiting multiple stores to fulfill their shopping needs when certain items are out of stock locally. This fragmented shopping experience leads to frustration, loss of time, and decreased customer satisfaction. Similarly, store vendors struggle to retain customers when they cannot immediately meet demand, potentially losing business to competitors.

To address these challenges, the need for a centralised app/portal was identified. This platform aims to:

Enable Consumers to purchase everything they need from a single store, ensuring a seamless and efficient shopping experience.
Empower Store Vendors to fulfill customer orders by directly sourcing unavailable items from other stores in the network, thereby retaining customers and increasing sales.
Facilitate Real-Time Stock Synchronisation between participating stores to optimize inventory management and minimize lost sales opportunities.

This case study outlines the design and development of this innovative platform, showcasing how it transforms traditional retail into a collaborative, customer-focused ecosystem.

PROBLEM NARRATION

“Mr Niladrit went to a store of a brand to buy a pair of jeans. While looking for jeans, he faced some problems, which are as follows:

Unavailable Inventory: The store didn’t have all the collections launched by the brand giving Mr Nialdrit fewer choices to select from.
Size Stockout: The Jeans Mr Niladrit liked were out of stock, so Mr Niladrit went without buying any Jeans.”

PROBLEM ALIGNMENT

The narrated persona represents a sizable portion of those who visit stores for shopping. To this end, the proposed feature must guarantee the following deliverables:

Smooth and easily accessible UI/UX
Store stock updates
A page to place orders for products which are not available
Payment Gateway
Invoice Generator

KPI MATRICS

Increased Customer Satisfaction leads to retention.
Order Fulfilment Rate.
Customer commitment.
Overall TAT (Turn Around Time).

FEATURES & SOLUTIONS

PROCESS FLOW CHART

Assumption:

If a product is unavailable in all participating stores within the defined network, the system will automatically initiate a refund process for the customer.
Orders for unavailable products will be redirected to N number of stores within an X kilo meter radius from the customer’s delivery address, ensuring a balance between fulfilment efficiency and logistical feasibility.
These assumptions were made to fill gaps in the scenario and provide a practical framework for developing the platform.

PROPOSED UI/UX

KEY HIGHLIGHTS

CONSTRAINTS & DEPENDENCIES

CONSTRAINTS

Some stores might not have good connectivity.
The Users may find it difficult to use the product.

DEPENDENCIES

Availability of tech team to develop the UI.
Availability of the Graphics team to design the UI.
Setting up the system in all stores

To explore the full details of this innovative solution, including design, features, and implementation strategies, download the case study.

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