A connected view of the business.
We design and build data foundations that connect orders, ad spend, inventory and costs across customers, products and channels.
Orchard combines AI, services and software to help consumer brands grow revenue, improve margins and increase what their teams can accomplish.


“We've worked with the Orchard team for over five years across multiple businesses, and they've consistently delivered data insights that are not only sharp and actionable, but also truly impactful for our business decisions.”
Lukas NoritzschChief Financial Officer, Glamnetic
Read the case studyOrchard is a boutique consulting firm. We work with consumer teams to identify where AI and data can help, then build and integrate the systems to put those opportunities into practice.
We design and build data foundations that connect orders, ad spend, inventory and costs across customers, products and channels.
We investigate changes in performance and build reporting and AI analysis with evidence teams can check.
We design, build and integrate apps, agents and workflows into the systems teams use every day.
Connect acquisition spending to customer value and margin, so teams can allocate budget with better evidence.
Use AI to organize creative, identify patterns and help teams decide what to test next.
Automate recurring analysis and flag changes that need attention, so teams can respond sooner.
Connect browsing, search and purchase behavior to improve product discovery and make recommendations more relevant.
Bring experiments together and use AI to summarize findings, so teams can build on what they learn.
Evaluate bundles, discounts and shipping offers against contribution and repeat purchases before scaling them.
Connect purchase history to your marketing tools, so messages reflect what customers buy and when they may need it again.
Identify missed replenishment and subscription drop-off, then build workflows that prompt a relevant response.
Test timing, messages and offers against repeat purchases and margin, then apply what works to the next campaign.
Bring retailer and distributor data together, automate account reporting and highlight where teams need to act.
Connect sales velocity, stock and orders to spot availability gaps and focus replenishment by retailer and location.
Bring trade spend, discounts and account costs into promotion planning, so wider distribution supports profitable growth.
Use repeat purchases, contribution and customer behavior to decide what to launch, grow or retire.
Use AI to organize reviews, returns and service conversations into recurring needs your product team can address.
Weigh demand and margin against inventory and operating complexity to focus the assortment and future investment.
Connect demand, available stock, inbound orders and lead times, so planners can adjust purchasing as conditions change.
Flag risks by SKU and location, with cash implications in view, so teams can decide what to reorder, move or reduce.
Build workflows that track exceptions, route follow-ups and bring delivery risks to the people who can resolve them.
Connect sales with product, fulfillment, returns and channel costs to find where profit is being lost.
Automate recurring reporting and use AI to investigate changes in volume, price, mix and costs.
Update forecasts with current trading and operating assumptions, so teams can weigh revenue, margin and cash before changing course.
Bring order, delivery and customer history into the service workflow, so agents can help without searching across tools.
Use AI to answer common questions and assist with order requests, with clear rules for when a person takes over.
Use AI to identify recurring causes across conversations and route findings to the teams that can fix them.
We know the systems consumer brands run on. We build reliable pipelines and organize business data for analysis, apps and automations—giving AI the context it needs and taking integration work off internal teams.