Free three-week pilot: 10 mid-market 3PLs

Free three-week pilot: 10 mid-market 3PLs

In logistics, you either have the right answer now, or you have a problem.

In logistics, you either have the right answer now, or you have a problem.

Most operations teams are forced to run real-time supply chains using last week’s reports and gut instinct. There is a faster way to work.

databricks.com/genie/tenjumps-and-your-operation

databricks.com/genie/tenjumps-and-your-operation

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DAVE, VP OPERATIONS

What's our on-time rate by carrier for the last 90 days, broken down by lane?

Genie

Carrier A: 12 lanes

96.4%

Carrier B: 8 lanes

93.1%

Carrier C: Lane 7 (CHI-ATL)

Carrier C: Lane 7

87.1%

Carrier D: 5 lanes

91.8%

Network average: 94.2%. Lane 7 is your lowest performer, 7 points below the floor you set last quarter. Want to see what's driving it?

Ask your question…

Agent

Chat

Welcome to Genie space

Genie Space helps teams explore data through conversation. Pick your path through the demo below

For the Developer

For the Business Leader

01 / 06

Works with your existing governance model

Read Unity Catalog permissions directly. No duplicate policies, no shadow access.

Unity Catalog

Existing permissions, no migration
RoleTableAccess
finance_analystordersSELECT (salary masked)
logistics_opsparceldetailsSELECT (EMEA filter)
executiveorders, revenueSELECT (full)
support_agentticketsSELECT (PII masked)
Genie inherits these automatically. A finance_analyst asking Genie a question gets the same row-level and column-level filtering they would get querying directly. Zero new policies to maintain.

If you change permissions in Unity Catalog, Genie picks up the change immediately. No re-indexing, no cache invalidation, no sync jobs.

02 / 06

Query your data where it lives

Reason across Delta, Snowflake, S3, Postgres, and APIs without moving data.

Delta Lake
Snowflake
AWS S3
PostgreSQL
REST API
Genie
no data movementno ETL requiredno duplicate copies

Genie reasons across multiple sources in a single query. Joining a Delta table with a Postgres table works the same as joining two Delta tables.

03 / 06

Security that adapts to the user

Attribute based access control. Same prompt, different scopes, all enforced.

Same prompt asked by both usersShow me Q4 transaction summary
Alice sees: US finance scoperegion = 'US' AND role = 'finance_analyst'
RegionOrdersRevenueAvg deal
US East12,402$4.2M$338
US West8,765$3.1M$354
US Central5,210$1.8M$346

Try clicking between Alice and Bob above. The result set, the columns shown, and even the filter applied change based on who is asking. Genie never sees data the user is not allowed to see.

04 / 06

Domain specific Genie workspaces

Each team gets its own isolated workspace with its own context and instructions.

F
Finance Genie
8Tables
24Instructions
12Users
2hLast active
L
Logistics Genie
6Tables
18Instructions
23Users
nowLast active
S
Support Genie
4Tables
31Instructions
45Users
5mLast active
H
HR Genie
3Tables
12Instructions
8Users
1dLast active

Each workspace has its own context. Finance Genie does not know about parcel logistics. Support Genie does not see payroll. Domains stay clean, instructions stay focused, accuracy stays high.

05 / 06

Define the language of your business

Metric views encode authoritative definitions. One number, every report, every time.

Layer 1: Raw data datacloud_stage.orders
SELECT order_id, processed_at, delivered_at, status FROM orders
Layer 2: Metric view on_time_delivery_rate.yml
metric: on_time_delivery_rate
source: datacloud_stage.orders
definition: |
  SUM(CASE WHEN DATE(processed_at) = DATE(delivered_at)
       THEN 1 ELSE 0 END) / COUNT(*) * 100
Layer 3: User query natural language
"What is our on time delivery rate this quarter?"
Your on time delivery rate for Q4 is 94.2%, up 1.8 points from Q3.
using metric: on_time_delivery_rate
Without metric view
Genie guesses: "I will check the `status` column equals 'delivered_on_time'..."
interpretation may vary
With metric view
Genie uses: your defined formula every time, for every user, every report.
deterministic, auditable

One source of truth. When the CFO asks about revenue and the controller asks about revenue, they both get the same number.

06 / 06

Observe, learn, and improve AI behavior

Every query logged, rated, and fed back. Accuracy climbs over time with audit trail.

Queries this week
1,247
Positive feedback
87% ▲ +4%
Accuracy
94% ▲ +3%
Accuracy trendlast 30 days
Recent queries
What is our on time delivery rate?
alice.chen
▲ helpful
Show me top vendors by Q4 spend
m.patel
▲ helpful
How many parcels were lost in transit last month?
b.okafor
⚑ tagged
Compare manifest volume between LAX and ORD
k.singh
▲ helpful
What does "nesting" mean in our context?
j.adams
▼ unclear
Feedback loop in action. The flagged query above is missing a definition for "lost in transit." An admin can add a metric view or instruction, and the next user asking the same question gets the right answer. AI tuning, not just logs.
01 / 06

Works with your existing governance model

Read Unity Catalog permissions directly. No duplicate policies, no shadow access.

Unity Catalog

Existing permissions, no migration
RoleTableAccess
finance_analystordersSELECT (salary masked)
logistics_opsparceldetailsSELECT (EMEA filter)
executiveorders, revenueSELECT (full)
support_agentticketsSELECT (PII masked)
Genie inherits these automatically. A finance_analyst asking Genie a question gets the same row-level and column-level filtering they would get querying directly. Zero new policies to maintain.

If you change permissions in Unity Catalog, Genie picks up the change immediately. No re-indexing, no cache invalidation, no sync jobs.

The problem

Your team is making decisions every day without the full picture.

It's not a people problem. It's a model problem.

Your WMS, TMS, and ERP are generating a complete record of your operation around the clock. Every shipment, every carrier move, every warehouse transaction, every customer order are already in there.


But getting to them requires an analyst, a ticket, a wait, and a dashboard that was built for last quarter's questions, not today's. By the time the report arrives, the moment to act has passed. Your team fills the gap with gut instinct and institutional memory, which works until it doesn't.


In mid-market logistics, the issues that hurt you most don't show up clearly in dashboards. They surface as retailer chargebacks, internal fire drills, delayed launches, and customer complaints. At that point, the report isn't late. It's irrelevant.

A TYPICAL REQUEST, TODAY

Mon 8am

Mon 8am

Ops lead notices carrier performance dip on Lane 7

Ops lead notices carrier performance dip on Lane 7

Mon 9am

Mon 9am

Submits a ticket to the analytics team

Submits a ticket to the analytics team

Tue - Wed

Tue - Wed

Analyst joins the queue. 11 other tickets ahead

Analyst joins the queue. 11 other tickets ahead

Thu - 2pm

Thu - 2pm

Report arrives. Lane 7 confirmed at 87%

Report arrives. Lane 7 confirmed at 87%

Thu - 2:30pm

Thu - 2:30pm

Customer already escalated. Decision made on instinct

Customer already escalated. Decision made on instinct

Riley Hayden

Client Services

Anjali Murthy

Software Engineer

Meet your pilot team:

Real experts, not a help desk.

Working alongside your team.

Built for the floor

Your operation never stops. Your answers shouldn't either.

Every shift, every load, every handoff generates the record you need to run your business. The pilot makes that record accessible.

Warehouse with light trails
Warehouse with light trails
How it works

Three weeks. Your operation. Real answers.

BEFORE WEEK ONE

Align

You submit a short application. We schedule a 30-minute call with your operations or analytics sponsor. Together we identify three to five questions your team asks most, the ones that currently sit in a queue or get answered too late to matter.

WEEK ONE

Configure

We connect a sample of your operational history into a secure, isolated Databricks environment. Before your ops team ever touches it, we hold a brief 15-minute verification sync with your data lead to ensure the outputs perfectly match your internal logic. We respect your data governance from day one.

WEEK TWO AND THREE

Engage

Your ops leads, account managers, and finance team get access. They ask questions in plain English. They get answers in seconds. No training required. No SQL. No learning curve.

"In 2026 alone, enterprises created over 1.5 million Databricks Genie Spaces to eliminate the technical barrier between business units and data."

What you walk away with

A board-ready business case built using your own data.

01

A configured Databricks environment

Built around your most important operational questions. Not a generic demo. Not sample data. Your actual history.

02

Three weeks of full team access

Ops, finance, account management, customer service. Anyone you want in the seat. No training required.

03

A final readout with real numbers

Time to answer before and after. Which questions showed the biggest improvement. Where you still need analyst involvement.

04

A roadmap with projected savings

Quantified time and cost savings if you scale self-service across your operation. The first concrete business case for your team.

The three things people ask first

The honest answers, not the brochure version.

What is the catch; why is there no software or services fee?

There isn't one. Tenjumps is entirely funding the infrastructure and engineering hours for these 10 spots. Why? Because we are building the definitive Q3 Mid-Market Logistics Analytics Benchmark Report. We are trading our engineering investment for real-world user feedback from high-performing 3PLs to help refine our productized solution

What happens to our operational history?

Your pilot runs in a fully isolated Databricks environment. You control what comes in. We configure it around your requirements. Nothing is shared, nothing is pooled with other companies, and you decide what sample set makes sense for your business.

Does our team need to know anything technical?

No. If they can type a question, they can use it. Natural language only. No SQL, no training, no learning curve. We run a short enablement session in week two so your team knows how to ask questions and interpret what comes back. That's it.

Why Tenjumps

We build systems that have to work in production. This pilot is no different.

We're not dropping a tool in and leaving. We're mapping how self-service access would fit into your existing request flows, your SLAs, and your governance model so that what we build during the pilot is something you can actually extend afterward.


Our Business Excellence Model runs from discovery into implementation and hands off cleanly to your team. By the end of three weeks, you'll know exactly whether a self-service analytics layer would materially change how your operation makes decisions, and what it would take to run it safely at scale.

2020

2020

Founded

Founded

Chicago

Chicago

Based

Based

Databricks

Databricks

Consulting partner

Consulting partner

Who this is for

We're keeping this tight so we can go deep.

You're a good fit if your 3PL runs warehousing and distribution, contract logistics, last-mile, or freight brokerage, and your team is feeling the gap between the questions they're asking and the answers they're getting.

You're a fit

Fulfillment warehousing and distribution

Last-mile carrier

Freight brokerage

You're not a fit

No operational data sources available

Software vendors looking to white-label

No analytics function at all

Ten spots. August 13 deadline. No cost.

If your teams are still waiting on reports to make decisions that can't wait, this pilot is a fast way to see what changes when they don't have to. We're selecting 10 mid-market 3PLs that are ready to test a different way of working. Enrollment closes August 13.

An Ops and analytics leader can sponsor

Small analytics or BI function in place

Mid market 3PL with 50+ employees

Operational data you want to test

Apply for your spot