Dharishah EDIT — Industry

Assortment & Pricing

Building an assortment that earns the second order.

Assortment and pricing architecture built for repeat purchase behaviour.

BlinkitSwiggy InstamartZepto
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Draft copy. The Challenge, Diagnosis and Execution sections below are written from SerenSynth's service model, not from confirmed Dharishah information. Confirm with the client, then set "draft": false for this brand in src/data/case-studies.json to remove this notice.

Assortment architecture

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Quick Look

01

The Brand

EDIT — One or two lines on who Dharishah is and what they sell. Real information only.

02

The Opportunity

The Quick Commerce range mirrored general trade rather than the pack sizes and price points that convert on a ten-minute shelf.

03

What We Did

Rebuilt the assortment around trial, repeat and basket-building packs, then set a pricing architecture that held margin at the point of decision.

04

The Outcome

EDIT — The outcome in one line, once the client has confirmed it in writing.

Our Process

Find the real problem first.

Every engagement starts by identifying what is actually limiting growth. Executing against the wrong diagnosis is the most expensive thing a brand can do on Quick Commerce.

  • The assortment on Quick Commerce mirrored general trade rather than the pack sizes and price points that convert on a 10-minute shelf.
  • Pricing was inconsistent across platforms, which suppressed conversion on the platform where the shopper was actually deciding.
  • Growth was coming from discounting rather than from repeat purchase.
Availability · city × darkstore City A City B City C City D In stock Gap

The Result

EDIT — The result in one line, written for this brand. No generic claims.

Awaiting verified numbers. Nothing is published here until Dharishah has confirmed the figures in writing. Add them to results.metrics for this brand in src/data/case-studies.json and rebuild — for example {"value":"30","suffix":"%","label":"Revenue growth"}.

Partnership-level averages are published on the case studies page.

The thinking behind the work

EDIT — Founder name

Founder, SerenSynth Labs

Quick Commerce isn't won by being everywhere. It's won by being operationally right where demand already exists.

EDIT — Two or three lines of real professional background. Where they worked, what they built, how long they have been operating in Quick Commerce. No invented credentials.

EDIT — Why SerenSynth exists. The gap the founder saw that the company was built to close.

What brands most often get wrong

EDIT — The thing brands most commonly get wrong on Quick Commerce, in the founder's own words.

FAQ

Frequently asked questions.

What was the biggest Quick Commerce challenge here?

Growth that depended on discounting. Volume was arriving, but very little of it was coming back for a second order.

What did SerenSynth change first?

The assortment. Pricing architecture and media weight are downstream decisions — they only work once the range itself suits a ten-minute shelf.

Which platforms were involved?

Blinkit, Swiggy Instamart and Zepto. This reflects platform expertise, not an official partnership claim.

What contributed most to the result?

EDIT — Answer once results are confirmed. Keep it specific to what actually moved the number.

How long did the engagement take?

EDIT — Real engagement length.

Can SerenSynth do this for another brand?

Yes. The approach transfers; the specific pack architecture and price ladders are rebuilt per category.

Next step

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More Work

Explore how we've helped other brands move faster on Quick Commerce.

A small number of partnerships at a time — each one read, diagnosed and operated the same way.