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Inventory planning across every store and screen.

Find under-monetized supply. Forecast next quarter. Hold inventory for deals in flight.

Trusted by leading retailers in 11 countries
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"FairPrice Group, Every Day, Made A Little Better" logo in white text
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"bigbasket, A TATA Enterprise" logo in white text
"TATA 1mg" logo in white text
"purplle" logo in bold white text
"firstcry.com" logo in white text
"snapmint" logo in white text with a leaf-like icon
"rapido" logo in dark text on a white oval background
"Apollo 24|7" logo in white text on a dark oval badge
"truemeds" logo in white text with a heart and lock icon
"smytten" logo in white text with three dots below
"AJIO" logo in bold white uppercase text
"BharatPe" logo in white text with a circular icon
"takealot.com" logo in white text with a blue circular icon
"Konga.com" logo in orange text with a swirl icon
"MR.D" logo in white on a dark rounded square
"Sharaf DG" logo in white text
"Pick n Pay" logo in white text
"bash" logo in bold white lowercase text
"Wakefern Food Corp" logo in bold white text
"GPA" logo in white text with a curved swoosh above it
"FairPrice Group, Every Day, Made A Little Better" logo in white text
"DFI Retail Group" logo in white text
"MR.DIY" logo in bold white letters

What it does

Plan inventory, forecast revenue, hold supply for deals in flight.

In-store retail media spend is forecast at $138B globally by 2027 (IAB + Advertima), and retailers running 100+ stores cannot plan inventory in spreadsheets. Sales teams sell faster when they can see what every screen has booked. Brand advertisers commit larger budgets when availability is transparent. Booking Calendar runs as the planning console for both sides.

Fill-rate intelligence across multiple dimensions

Yield leaks where you cannot see it. Fill rate by store, screen, placement, category, geo, daypart, format, and demand type. Spot empty cells in your top-revenue category before quarter end.

Revenue forecast with what-if planning

Finance commits when forecast is defensible. Project quarter-close revenue from current bookings. Model the lift of a new package launch. Sales targets meet inventory reality before commit.

Sales pipeline inventory holds

Stop double-booking deals in flight. Sales reps lock inventory for live proposals before contracts sign. Holds expire on schedule and return to the available pool — no stale pipeline.

Yield anomaly alerts

Catch under-pacing before quarter end. Under-pacing screens, unsold dayparts, and stale price floors surface as alerts. Ops fixes the leak before it costs the renewal.

House Ads vs Advertiser split

See how much fill is monetized vs filler. Toggle switches the calendar between Advertiser Campaigns and House Campaigns. Both populations roll up into total fill rate.

Drill-down to campaign-level P&L

Cell-level visibility without context-switching. Click any cell to open the Booking Details panel. Every campaign with status, advertiser, plays on hold, plays booked, cost paid, creator.

See the booking calendar in action.

A 30-minute walkthrough with the Osmos in-store lead. Fill-rate heatmap, revenue forecast, sales pipeline holds, and the DFI scale-up story.

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Works with your ecosystem:

Success stories

How retailers broke their ceiling.

How Mr DIY turned 1,100 stores into a scalable In-Store retail media network

1,200+

in-store screens live

1,100+

stores activated

6+

marquee brands live

Apollo 24x7 achieves 200% revenue growth in two months with smarter PLA optimization

200%

2m revenue growth

+44

pp in budget utilisation

38%

CPC increase

Turning high intent liquor category into ad revenue: How Pick n Pay’s Beer Advertiser achieved 8.81 ROI with Sponsored Product Ads

8.81

ROI

R44,772

attributed sales

How BigBasket rebuilt fixed tenancy ads to unlock scalable search monetization

↑93%

final auction price

50%

ad revenue generated

↑27%

advertiser participation

SEE IT IN ACTION

See utilization, forecast, and pipeline across your network.

A 30-minute walkthrough with the Osmos in-store lead. Fill-rate heatmap, revenue forecast, sales pipeline holds, and the DFI scale-up story.

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Commitment-free consultation on your top needs and challenges. Discover product capabilities and how Osmos may help.

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frequently asked questions

Your questions, answered.

Answers about how Osmos In-Store sits inside your store stack.

How quickly does the data refresh?

Utilization figures refresh in near real-time. Booked cells update as campaigns enter and exit. The day view is accurate to the last hour; week and month views aggregate from the same source. Quarter forecasts refresh every six hours.

Can sales reps hold inventory for deals in flight?

Yes. Sales reps lock inventory for live proposals before contracts sign. Holds expire on schedule (configurable per retailer) and return to the available pool. No more double-booking the same screen across two deals.

How does the forecast work?

Bottom-up forecast by store, screen, format, advertiser tier, daypart. Combines current bookings, historical pacing, seasonal patterns, and sales pipeline holds. What-if scenarios model package launches, price changes, and new demand sources.