AI case study

Wipro EnterprisesField sales recommendations

Reps relied on memory to pitch 30+ SKUs per brand. AI now analyzes local trends to generate dynamic "must-stock" lists.

Published|3 months ago

Key results

Product Line Growth
15-20%
Repeat Purchase Rate
30-40%

Result highlights

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The story

Context

One of the fastest-growing consumer goods businesses in Asia, Africa, and the Middle East serves a complex market of millions of independent mom-and-pop stores.

Challenge

Sales representatives relied on memory to recommend products from a vast catalog where a single brand could have over 30 unique SKUs. Critical data...

Solution
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Quotes

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The company

Wipro Enterprises logo

Wipro Enterprises

wiproenterprises.com

Consumer goods, lighting, and diversified industrial engineering solutions.

IndustryIndustrial & Manufacturing
LocationBengaluru, KA, India
Employees10K-50K
Founded2013

The vendor

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Accenture logo

Accenture

accenture.com
Role in this case study

Served as technology implementer and strategic consultant for Wipro's sales transformation.

IndustryProfessional Services
LocationDublin, Ireland
Employees100K+
Founded1989

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