Sample-data pet products demonstration

Control eligible lots and channel promises from Fishbowl through fulfillment.

This interactive model connects supplier evidence, finished-lot genealogy, channel allocation, 3PL execution and transaction reconciliation for pet food, treats and supplements. Chewy and other channel paths remain discovery-dependent; no vendor partnership is implied.

DATASHIP PROCESS FILMSAMPLE DATA · HUMAN-GOVERNED0:00 / 1:00
01 · Plan

Channel demand competes for eligible supply.

Chewy, Amazon, retail, DTC and subscription demand is compared with released inventory and inbound supply.

SOURCEChannel demand→
CONTROLPlanning control→
DESTINATIONEligible supply
SOURCEVerified
CONTROLPlan
AUDITRecording
LIVE SIGNALAllocation pressure visible
CC

Chewy, Amazon, retail, DTC and subscription demand is compared with released inventory and inbound supply.

PLAN

Three operating models

“Pet products” is not one workflow.

The controls change by product and channel. DataShip defines the correct operating boundary before designing integrations or automation.

01 · FOOD + TREATS

Lots, safety status and expiry

Supplier identity, preventive-control evidence, finished lots, FEFO, hold/release and recall trace.

02 · PET SUPPLEMENTS

Quality evidence and claims data

Specification ownership, COA dependencies, formula and label versions, release status and disposition.

03 · NON-CONSUMABLES

Variants, packs and replenishment

Channel item references, vendor packs, lead times, inventory positioning and return handling.

04 · OMNICHANNEL

Chewy, Amazon, retail and DTC

Demand, acknowledgments, inventory updates, shipments, invoices, shortages and chargeback risk.

A useful first scope

Lot, channel + fulfillment control sprint.

Start with the channel program, interfaces and service requirements actually in use. Then map inventory eligibility, item ownership, document flow, 3PL evidence, exception ownership and reconciliation.

Start with the problem

Tell us what is making
the operation harder.

You do not need to know which platform, connector or project you need. Tell Benjamin what is breaking down, what your team is working around and what needs to improve. You will leave the first conversation with an honest view of the next step—even if DataShip is not the right fit.

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