Partnership review brief

A delivery partner built to protect Fishbowl customers—and the Fishbowl brand.

DataShip helps growing product companies make Fishbowl the dependable center of commerce, retailer EDI, inventory, manufacturing, warehouse and fulfillment operations. This page separates delivered evidence, pilot-ready capability and future roadmap.

Executive summary

Specific where it matters. Honest about the boundary.

DataShip sits between implementation, custom engineering and ongoing operational ownership. The ideal referral is a Fishbowl customer whose business is becoming more connected and complex—but whose problem can be solved without forcing an enterprise-scale replacement.

Fishbowl is the operational core. DataShip owns the difficult handoffs around it.
Fishbowl rescue + optimizationShopify + retailer EDI3PL + warehouse flowsCustom applicationsManaged supportGoverned AI

Fishbowl + EDI motion proof

Follow one retailer transaction from 850 through 810.

The film intercuts representative operating scenes with the actual transaction sequence: retailer demand, validation, Fishbowl execution, warehouse evidence, ASN and invoice.

FISHBOWL + RETAILER EDI0:40
BRANDED PROCESS FILM · ON-SCREEN CAPTIONS

See both sides of EDI: the data and the operation

A people-and-transaction walkthrough of the 850, validation, sales order, warehouse execution, 856 ASN, 810 invoice and reviewable controls.

01850 order02Validate03Accept04Warehouse05856 ASN06810 invoice
Silent by design · on-screen captions · sample dataExplore demonstration suite →

Reviewable AI control

A governed agent story a partner can challenge.

This sample-data film makes the boundary explicit: read-only evidence first, a recommendation second, a named human decision third, and a logged validation result last.

DATASHIP PROCESS FILMSAMPLE DATA · HUMAN-GOVERNED0:00 / 0:45
01 · Detect

An order stops between systems.

The agent notices that a Shopify order did not enter the expected Fishbowl pick-and-ship flow.

SOURCEShopify
CONTROLDataShip AI
DESTINATIONFishbowl
SOURCEVerified
CONTROLDetect
AUDITRecording
LIVE SIGNALException opened · read-only
CC

The agent notices that a Shopify order did not enter the expected Fishbowl pick-and-ship flow.

DETECT

Value to Fishbowl

Why this partnership makes commercial sense.

01

Win more complex customers

A credible delivery path when a prospect needs Shopify, retailer EDI, a 3PL, custom applications or a nonstandard workflow.

02

Protect the customer experience

Trace failures across the full landscape so an external mapping or connector issue is not simply perceived as a Fishbowl failure.

03

Increase adoption

Turn implementation into operating discipline through usable workflows, dashboards, custom tools, training and support.

04

Extend the AI story

Prepare reliable data, support native AI adoption and build governed agents for cross-system work outside the Fishbowl boundary.

05

Create durable success

Stay accountable after go-live through monitoring, issue response, upgrades and an improvement roadmap.

Evidence register

Delivered work first. Roadmap clearly labeled.

We do not present planned capability as completed client delivery. References, redacted work samples and technical walkthroughs can be provided during qualified diligence with client permission.

StatusCapabilityReviewable evidence
DeliveredCustom Fishbowl applications

Product-photo synchronization, live inventory views, purchasing tools and PDF/Excel operational reports.

DeliveredCross-system troubleshooting

Fishbowl and Shopify SKU, variant, UPC and item-state issues traced and corrected to restore order flow.

DeliveredCloud application rescue

An application, AWS Lambda, database JSON and storage path traced end to end to restore primary and recommendation report generation.

DeliveredManaged operational support

Uploads, backups, updates, issue response and ongoing workflow maintenance after initial delivery.

Pilot-readyFishbowl-centered EDI control plane

Defined 850/855/856/810/846 architecture with validation, monitoring, exception queues, retries and audit trails.

PrototypeCross-system order exception agent

A guided sample-data workflow demonstrates read-only comparison, evidence, recommendation, human approval and audit.

Referral-ready starting points

Easy to explain. Narrow enough to control.

Each package begins with a visible operational problem and ends with defined evidence, ownership and support—not an open-ended promise to “integrate everything.”

RESCUE

Broken workflow sprint

Trace and repair an order, inventory, report, EDI or 3PL handoff across Fishbowl and the outside system.

Review the recovery model →
EXTEND

Custom operating layer

Build an application, report, data pipeline or workflow around an established Fishbowl core.

See delivered evidence →
OPERATE

Managed improvement

Monitor the handoffs, own the exception queue, maintain reporting and improve the operating roadmap after go-live.

Review ongoing support →

Referral handling

One accountable path from introduction through support.

Fishbowl should never have to wonder who owns the next step, what the customer was promised or whether DataShip will remain after go-live.

01

Qualify

Confirm customer fit, business impact, Fishbowl environment, surrounding systems, authority and timeline.

02

Discover

Map source-of-truth ownership, workflows, exceptions, security constraints and measurable baseline.

03

Design

Produce a written scope, architecture, mappings, test plan, cutover approach and support model.

04

Deliver

Use controlled access, non-production validation, weekly status, documented decisions and explicit acceptance.

05

Support

Monitor the live workflow, own incident triage, maintain runbooks and prioritize continuous improvement.

Before delivery

Written fit decision, scope, exclusions, architecture, success measures and named owners.

During delivery

Weekly status, risks, decisions, validation evidence and controlled change management.

After delivery

Runbook, monitoring, support ownership, response priorities and improvement backlog.

Delivery assurance

Practical controls for customer systems and data.

These are DataShip delivery practices—not claims of a third-party security certification.

01Least privilege

Use named access, MFA where supported and only the permissions needed for the approved scope.

02Secret handling

Keep credentials out of source code and documents; use the client's approved secure mechanism.

03Test + rollback

Validate mappings and writes outside production where available, then document cutover and reversal steps.

04Audit + escalation

Log controlled agent actions, preserve decisions and escalate incidents through named business and technical owners.

Review the full security + data-handling brief →

Team + capacity

Senior-led by design.

Benjamin Brown owns qualification, solution architecture and executive accountability. Senior architecture and integration engineering support delivery under a named plan. DataShip controls intake so referrals retain senior oversight rather than disappearing into an anonymous delivery queue.

Named engagement ownerArchitecture reviewIntegration engineeringClient-approved referencesManaged support optionPartner escalation path
Meet the delivery model →

Low-risk first step

A focused 90-day partner pilot.

Begin with one qualified customer whose challenge spans Fishbowl and at least one outside system. Establish baseline metrics, deliver the smallest valuable scope and review the outcome together.

01Joint qualification

Confirm customer fit, workflow and success measures.

02Controlled delivery

Build the smallest valuable integration or rescue scope.

03Measured outcome

Document reliability, adoption and customer value.

04Partner review

Decide how to repeat, refine and expand the motion.

The partner proposition

DataShip helps Fishbowl say “yes” to the difficult integration—and stay accountable for what happens next.

Request a partner review ↗Download the capability brief ↓Run the controlled-agent demo →